139 KiB
139 KiB
| 1 | id | created_on | title | description | tag |
|---|---|---|---|---|---|
| 2 | 6 | 2020-02-20 06:43:18 | Comparison between YOLO and RCNN on real world videos | Bringing theory to experiment is cool. We can easily train models in colab and find the results in minutes. | computer-vision |
| 3 | 7 | 2020-02-20 06:47:21 | Show, Infer & Tell: Contextual Inference for Creative Captioning | The beauty of the work lies in the way it architects the fundamental idea that humans look at the overall image and then individual pieces of it. | computer-vision |
| 4 | 9 | 2020-02-24 16:24:45 | Awesome Graph Classification | A collection of important graph embedding, classification and representation learning papers with implementations. | other |
| 5 | 15 | 2020-02-28 23:55:26 | Awesome Monte Carlo Tree Search | A curated list of Monte Carlo tree search papers with implementations. | other |
| 6 | 25 | 2020-03-07 23:04:31 | AttentionWalk | A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018). | other |
| 7 | 27 | 2020-03-07 23:18:15 | APPNP and PPNP | A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019). | other |
| 8 | 28 | 2020-03-07 23:23:46 | Attributed Social Network Embedding | A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018). | other |
| 9 | 29 | 2020-03-07 23:45:38 | Signed Graph Convolutional Network | A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018). | other |
| 10 | 45 | 2020-03-08 00:39:08 | SimGNN | A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019). | other |
| 11 | 61 | 2020-03-16 17:35:22 | Using JAX to Improve Separable Image Filters | Optimizing the filters to improve the filtered images for computer vision tasks. | computer-vision |
| 12 | 65 | 2020-03-19 18:42:05 | Coloring Greyscale Images | Coloring black and white images with neural networks. | computer-vision |
| 13 | 67 | 2020-03-19 19:04:43 | Fruit Detection using Convolution Neural Networks in TensorFlow | Trained a Convolutional Neural Network Model to predict fruits of over 100+ Classes (types) with a training accuracy of over 95%, and testing accuracy of over 9 | computer-vision |
| 14 | 73 | 2020-03-19 23:45:14 | Face Verification | Implementation of Siamese Neural network model used for face verification. The dataset used for this task is IMDB-WIKI-face images Dataset. | computer-vision |
| 15 | 77 | 2020-03-20 03:23:27 | Sign Language Interpreter using Deep Learning | A sign language interpreter using live video feed from the camera. The project was completed in 24 hours as part of HackUNT-19, the University of North Texas's | computer-vision |
| 16 | 78 | 2020-03-20 03:32:09 | The Illustrated Self-Supervised Learning | A visual introduction to self-supervised learning methods in Computer Vision | computer-vision |
| 17 | 81 | 2020-03-20 06:07:56 | GradCAM for the BreaKHis Dataset | An NBDev package for fine-tuning ResNets to visualize gradient-weighted class activation for the BreaKHis dataset. | computer-vision |
| 18 | 85 | 2020-03-20 17:35:59 | Message Passing GNNs C++ | C++ implementation using Eigen for the forward pass of Graph Convolutional Neural Networks. | other |
| 19 | 89 | 2020-03-20 18:17:31 | Rethinking Batch Normalization in Transformers | We found that NLP batch statistics exhibit large variance throughout training, which leads to poor BN performance. | natural-language-processing |
| 20 | 91 | 2020-03-20 18:30:04 | Pytest Board | Continuous pytest runner with awesome visualization. | mlops |
| 21 | 92 | 2020-03-20 18:43:50 | Image Spam Buster - Kreate Hackathon | "Spam Buster" for user generated IMAGE content. | computer-vision |
| 22 | 98 | 2020-03-20 19:16:43 | Bachelorette Predictor | Predict the Bachelorette winners from profile images. | computer-vision |
| 23 | 99 | 2020-03-20 21:32:14 | Gender Change of People's Face using CycleGAN | CycleGAN architecture in Keras and train the model with CelebA faces dataset to perform gender change on people's faces. | computer-vision |
| 24 | 101 | 2020-03-21 04:19:04 | ELECTRA: Pre-training Text Encoders as Discriminators | PyTorch implementation of the electra model from the paper: ELECTRA - Pre-training Text Encoders as Discriminators Rather Than Generators | natural-language-processing |
| 25 | 108 | 2020-03-21 23:17:38 | Tuned ALBERT (ensemble model) | Top 6 in Squad 2.0 | natural-language-processing |
| 26 | 109 | 2020-03-21 23:25:33 | iyasai: Book Recommendation System | Recommender system for books and stories that could help you and your loved ones lift up your mood whenever you are facing stress or unpleasant situations. | natural-language-processing |
| 27 | 112 | 2020-03-21 23:58:46 | Learning to See before Learning to Act: Visual Pre-training | We find that pre-training on vision tasks significantly improves generalization and sample efficiency for learning to manipulate objects. | computer-vision |
| 28 | 115 | 2020-03-22 01:26:14 | SOLT: Data Augmentation for Deep Learning | Data augmentation library for Deep Learning, which supports images, segmentation masks, labels and key points. | computer-vision |
| 29 | 116 | 2020-03-22 01:37:27 | PCDet: 3D Point Cloud Detection | PCDet Toolbox in PyTorch for 3D Object Detection from Point Cloud | computer-vision |
| 30 | 117 | 2020-03-22 01:47:09 | SiamFC++: Towards Robust and Accurate Visual Tracking | Implementation of a series of basic algorithms which is useful for video understanding, including Single Object Tracking (SOT), Video Object Segmentation (VOS). | computer-vision |
| 31 | 118 | 2020-03-22 21:46:52 | Sinext | Sign language to text with OpenCV and MNIST sign-language dataset | computer-vision |
| 32 | 120 | 2020-03-24 04:38:08 | Gliding Vertex on Horizontal Bounding Box for Object Detection | Gliding vertex on the horizontal bounding box for multi-oriented object detection. | computer-vision |
| 33 | 121 | 2020-03-24 04:56:38 | Deep Reinforcement Learning in TensorFlow2 | deep-rl-tf2 is a repository that implements a variety of polular Deep-RL algorithms using TF2. The key to this repo is an easy to understand code. | other |
| 34 | 122 | 2020-03-24 17:51:35 | Custom Classifier on Top of Bert-like Language Model | Take pre-trained language model and build custom classifier on top of it. | natural-language-processing |
| 35 | 123 | 2020-03-24 18:20:55 | Using Different Decoding Methods for LM with Transformers | A look at different decoding methods for generate subsequent tokens in language modeling. | natural-language-processing |
| 36 | 124 | 2020-03-24 21:12:12 | Unsupervised Toolbox | Unsupervised learning Tool box : A micro framework for State of the Art Methods and models for unsupervised learning for NLU / NLG | natural-language-processing |
| 37 | 128 | 2020-03-25 15:21:34 | Multimodal Brain Tumor Segmentation | Segmentation of gliomas in pre-operative MRI scans. Use the provided clinically-acquired training data to produce segmentation labels. | computer-vision |
| 38 | 133 | 2020-03-25 20:21:26 | A Survey of Long-Term Context in Transformers | Over the past two years the NLP community has developed a veritable zoo of methods to combat expensive multi-head self-attention. | natural-language-processing |
| 39 | 137 | 2020-03-27 14:39:53 | Debugging Neural Networks with PyTorch and W&B | A closer look at debugging common issues when training neural networks. | mlops |
| 40 | 138 | 2020-03-27 14:50:02 | BachGAN: High-Res Image Synthesis from Salient Object Layout | We propose a new task towards more practical application for image generation - high-quality image synthesis from salient object layout. | computer-vision |
| 41 | 140 | 2020-03-28 07:49:03 | Visual Paper Summary: ALBERT(A Lite BERT) | An illustrated summary of ALBERT paper and how it improves BERT and makes it resource efficient | natural-language-processing |
| 42 | 145 | 2020-03-30 04:14:44 | Controllable Person Image Synthesis with Attribute-Decomposed GAN | A novel generative model for controllable person image synthesis, which can produce realistic person images with desired human attributes. | computer-vision |
| 43 | 147 | 2020-03-30 05:39:57 | Back Translation for Text Augmentation with Google Sheets | Learn how to augment existing labeled text data for free using Google Sheets. | natural-language-processing |
| 44 | 148 | 2020-03-30 14:13:46 | An Illustrated Guide to Graph Neural Networks | A breakdown of the inner workings of GNNs. | other |
| 45 | 150 | 2020-04-01 08:26:46 | The Illustrated FixMatch for Semi-Supervised Learning | Learn how to leverage unlabeled data using FixMatch for semi-supervised learning | computer-vision |
| 46 | 152 | 2020-04-01 15:38:58 | A Two-Step Graph Convolutional Decoder for Molecule Generation | A simple auto-encoder framework for molecule generation. | other |
| 47 | 157 | 2020-04-03 01:56:32 | TransMoMo: Invariance-Driven Unsupervised Motion Retargeting | A lightweight video motion retargeting approach that is capable of transferring motion of a person in a source video realistically to another video of a target | computer-vision |
| 48 | 158 | 2020-04-03 04:41:07 | Tracking Objects as Points | Simultaneous object detection and tracking using center points. | computer-vision |
| 49 | 159 | 2020-04-03 14:57:11 | Drifter-ML | A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time. | mlops |
| 50 | 162 | 2020-04-03 20:17:50 | Natural Language Processing News | Get the highlights from Natural Language Processing & Machine Learning research & industry straight to your inbox every month. | natural-language-processing |
| 51 | 163 | 2020-04-03 20:21:13 | NLP Newsletter | Democratizing Artificial Intelligence Research, Education, and Technologies. | natural-language-processing |
| 52 | 168 | 2020-04-04 17:54:28 | Self-Supervised Scene De-occlusion | We investigate the problem of scene de-occlusion, which aims to recover the underlying occlusion ordering and complete the invisible parts of occluded objects. | computer-vision |
| 53 | 173 | 2020-04-05 03:00:05 | Design Patterns for Production NLP Systems | Designs and tips for designing NLP production systems. | natural-language-processing |
| 54 | 181 | 2020-04-05 14:56:34 | Talking-Heads Attention | A variation on multi-head attention which includes linear projections across the attention-heads dimension, immediately before and after the softmax operation. | natural-language-processing |
| 55 | 183 | 2020-04-05 17:50:10 | What does a CNN see? | First super clean notebook showcasing @TensorFlow 2.0. An example of end-to-end DL with interpretability. | computer-vision |
| 56 | 219 | 2020-04-06 14:10:22 | Natural Language Processing: Pretraining - d2l | An interactive deep learning book with code, math, and discussions, based on the NumPy interface. | natural-language-processing |
| 57 | 224 | 2020-04-06 16:48:44 | Understanding Convolutional Neural Networks for NLP | More recently we’ve also started to apply CNNs to problems in Natural Language Processing and gotten some interesting results. | natural-language-processing |
| 58 | 234 | 2020-04-06 17:42:52 | An Overview of Semantic Image Segmentation | Image segmentation is a computer vision task in which we label specific regions of an image according to what's being shown. | computer-vision |
| 59 | 237 | 2020-04-06 18:02:48 | Common Architectures in Convolutional Neural Networks | In this post, I'll discuss commonly used architectures for convolutional networks. | computer-vision |
| 60 | 238 | 2020-04-06 18:37:33 | Googletrans | Googletrans: Free and Unlimited Google translate API for Python. Translates totally free of charge. | natural-language-processing |
| 61 | 239 | 2020-04-06 18:39:48 | Prophet: Forecasting At Scale | Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. | other |
| 62 | 250 | 2020-04-06 19:24:06 | Doccano | Open source text annotation tool for machine learning practitioner. | natural-language-processing |
| 63 | 251 | 2020-04-06 19:28:58 | BRAT: Rapid Annotation Tool | BRAT (brat rapid annotation tool) is based on the stav visualiser which was originally made in order to visualise BioNLP'11 Shared Task data. | natural-language-processing |
| 64 | 252 | 2020-04-06 20:23:46 | Word Embeddings | This tutorial introduces word embeddings. It contains complete code to train word embeddings from scratch on a small dataset. | natural-language-processing |
| 65 | 253 | 2020-04-06 20:26:27 | On Word Embeddings | This post presents the most well-known models for learning word embeddings based on language modeling. | natural-language-processing |
| 66 | 254 | 2020-04-06 20:28:43 | NLP for Developers: Word Embeddings | Rasa | In this video, Rasa Developer Advocate Rachael will talk about what word embeddings are, how they work, when they're used and some common errors. | natural-language-processing |
| 67 | 255 | 2020-04-06 20:30:27 | NLP for Developers: Transformers | Rasa | In this video, Rasa Developer Advocate Rachael will talk about what transformers are, how they work, when they're used and some common errors. | natural-language-processing |
| 68 | 256 | 2020-04-06 20:42:05 | A Visual Guide to Using BERT for the First Time | Tutorial for how to use a variant of BERT to classify sentences. | natural-language-processing |
| 69 | 257 | 2020-04-06 20:45:45 | The Illustrated GPT-2 (Visualizing Transformer Language Models) | Visuals explaining the inner-workings of transformers. | natural-language-processing |
| 70 | 259 | 2020-04-06 20:51:58 | The Illustrated Word2vec | In this post, we’ll go over the concept of embedding, and the mechanics of generating embeddings with word2vec. | natural-language-processing |
| 71 | 260 | 2020-04-06 20:55:32 | The Illustrated BERT, ELMo, and co. | How NLP cracked transfer learning. | natural-language-processing |
| 72 | 261 | 2020-04-06 21:00:34 | The Illustrated Transformer | In this post, we will look at The Transformer – a model that uses attention to boost the speed with which these models can be trained. | natural-language-processing |
| 73 | 262 | 2020-04-06 21:11:40 | Visualizing A Neural Machine Translation Model | Mechanics of seq2seq models with attention. | natural-language-processing |
| 74 | 269 | 2020-04-06 22:46:54 | Attention Mechanism | Main concepts behind Attention, including an implementation of a sequence-to-sequence Attention model, followed by the application of Attention in Transformers. | natural-language-processing |
| 75 | 270 | 2020-04-06 22:50:30 | Attention? Attention! | In this post, we are gonna look into how attention was invented, and various attention mechanisms and models, such as transformer and SNAIL. | natural-language-processing |
| 76 | 271 | 2020-04-06 22:58:47 | The Annotated Transformer | In this post I present an “annotated” version of the paper in the form of a line-by-line implementation. | natural-language-processing |
| 77 | 272 | 2020-04-06 23:38:26 | The Annotated GPT-2 | GPT-2 explained with visualization and PyTorch code. | natural-language-processing |
| 78 | 273 | 2020-04-06 23:41:52 | Transformers - Hugging Face | 🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch. | natural-language-processing |
| 79 | 277 | 2020-04-07 00:30:33 | Curriculum for Reinforcement Learning | Curriculum learning applied to reinforcement learning, with a few exceptions of supervised learning. | other |
| 80 | 278 | 2020-04-07 00:34:46 | Self-Supervised Representation Learning | What if we can get labels for free for unlabelled data and train unsupervised dataset in a supervised manner? | computer-vision |
| 81 | 279 | 2020-04-07 00:36:55 | Evolution Strategies | Evolutionary algorithms refer to a division of population-based optimization algorithms inspired by natural selection. | other |
| 82 | 280 | 2020-04-07 00:38:25 | Meta Reinforcement Learning | Explore cases when we try to “meta-learn” Reinforcement Learning (RL) tasks by developing an agent that can solve unseen tasks fast and efficiently. | other |
| 83 | 281 | 2020-04-07 00:40:59 | Generalized Language Models | Trend in large unsupervised pre-trained language models which have achieved amazing SOTA results on a variety of language tasks. | natural-language-processing |
| 84 | 284 | 2020-04-07 00:57:12 | Policy Gradient Algorithms | In this post, we are going to look deep into policy gradient, why it works, and many new policy gradient algorithms proposed in recent years. | other |
| 85 | 286 | 2020-04-07 03:49:15 | Object Detection for Dummies | We will go through several basic concepts, algorithms, and popular deep learning models for image processing and object detection. | computer-vision |
| 86 | 287 | 2020-04-07 03:59:53 | Learning Word Embedding | This post introduces several models for learning word embedding and how their loss functions are designed for the purpose. | natural-language-processing |
| 87 | 290 | 2020-04-07 13:38:36 | GANSpace: Discovering Interpretable GAN Controls | This paper describes a simple technique to analyze Generative Adversarial Networks (GANs) and create interpretable controls for image synthesis. | computer-vision |
| 88 | 291 | 2020-04-07 14:07:59 | Kornia: Differentiable Computer Vision Library for PyTorch | Set of routines and differentiable modules to solve generic computer vision problems. | computer-vision |
| 89 | 294 | 2020-04-07 15:36:13 | PyTorch Geometric | Geometric deep learning extension library for PyTorch. | other |
| 90 | 295 | 2020-04-07 15:40:00 | DGL: Deep Graph Library | Python package built to ease deep learning on graph, on top of existing DL frameworks. | other |
| 91 | 306 | 2020-04-07 20:07:28 | BERT Research - Key Concepts & Sources | Video series on BERT's key concepts and sources. | natural-language-processing |
| 92 | 307 | 2020-04-07 20:11:29 | GLUE Explained: Understanding BERT Through Benchmarks | In this post we take a look at an important NLP benchmark used to evaluate BERT and other transfer learning models! | natural-language-processing |
| 93 | 308 | 2020-04-07 23:22:18 | TinyBERT | TinyBERT is 7.5x smaller and 9.4x faster on inference than BERT-base and achieves competitive performances in the tasks of natural language understanding. | natural-language-processing |
| 94 | 313 | 2020-04-08 00:02:27 | NVIDIA Neural Modules: NeMo | A toolkit for conversational AI. | natural-language-processing |
| 95 | 315 | 2020-04-08 00:10:21 | VoTT: Visual Object Tagging Tool | An electron app for building end to end Object Detection Models from Images and Videos. | computer-vision |
| 96 | 316 | 2020-04-08 00:12:26 | Clinical BERT | Repository for Publicly Available Clinical BERT Embeddings | natural-language-processing |
| 97 | 318 | 2020-04-08 00:16:55 | Computer Vision Annotation Tool (CVAT) | Free, online, interactive video and image annotation tool for computer vision. | computer-vision |
| 98 | 319 | 2020-04-08 00:19:04 | LabelImg | 🖍️ A graphical image annotation tool and label object bounding boxes in images. | computer-vision |
| 99 | 327 | 2020-04-08 14:16:28 | How to Steal Modern NLP Systems with Gibberish? | It’s possible to steal BERT-based models without any real training data, even using gibberish word sequences. | natural-language-processing |
| 100 | 334 | 2020-04-08 15:04:28 | BioWordVec & BioSentVec | Pre-trained embeddings for biomedical words and sentences | natural-language-processing |
| 101 | 335 | 2020-04-08 15:07:44 | BioBERT: a pre-trained biomedical language representation model | Code for fine-tuning BioBERT for biomedical text mining tasks such as biomedical NER, relation extraction, QA, etc. | natural-language-processing |
| 102 | 341 | 2020-04-08 15:42:56 | How to Unit Test Machine Learning Code | Wouldn’t suck to have to throw away perfectly good ideas because our implementations were buggy? | mlops |
| 103 | 343 | 2020-04-08 15:52:19 | Machine Learning Systems Design | Designing a machine learning system. | mlops |
| 104 | 345 | 2020-04-08 16:14:23 | HMTL: Hierarchical Multi-Task Learning | 🌊 A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP | natural-language-processing |
| 105 | 347 | 2020-04-08 16:26:05 | The State of Transfer Learning in NLP | This post expands on the NAACL 2019 tutorial on Transfer Learning in NLP. It highlights key insights and takeaways and provides updates based on recent work. | natural-language-processing |
| 106 | 349 | 2020-04-08 16:35:52 | The Dark Secrets of BERT | How much of the linguistically interpretable self-attention patterns that are presumed to be its strength are actually used to solve downstream tasks? | natural-language-processing |
| 107 | 364 | 2020-04-08 17:53:15 | Named Entity Recognition Tagging | In this post, we go through an example from Natural Language Processing, in which we learn how to load text data and perform NER tagging for each token. | natural-language-processing |
| 108 | 372 | 2020-04-08 18:22:46 | An introduction to Q-Learning: Reinforcement Learning | Q-Learning algorithm along with an implementation in Python using Numpy. | other |
| 109 | 378 | 2020-04-08 19:37:57 | Ray | Ray is a fast and simple framework for building and running distributed applications. | other |
| 110 | 380 | 2020-04-08 21:05:06 | Graph Nets | PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT. | other |
| 111 | 388 | 2020-04-08 21:36:39 | ConvNet Playground | An interactive visualization for exploring Convolutional Neural Networks applied to the task of semantic image search. | computer-vision |
| 112 | 392 | 2020-04-08 21:53:06 | Embedding Projector | Visualization of high dimensional data, namely embeddings. | natural-language-processing |
| 113 | 395 | 2020-04-08 22:12:24 | Word2Viz: Explore Word Analogies | Interactive visualization of word analogies in GloVe. | natural-language-processing |
| 114 | 397 | 2020-04-08 22:17:06 | Image-to-Image Translation with Conditional Adversarial Networks | Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets | computer-vision |
| 115 | 401 | 2020-04-08 22:29:09 | Quick, Draw | Can a neural network learn to recognize doodling? | computer-vision |
| 116 | 403 | 2020-04-08 22:44:04 | A 2019 Guide to Speech Synthesis with Deep Learning | A look at recent deep learning based speech synthesis research and techniques. | natural-language-processing |
| 117 | 408 | 2020-04-08 23:03:13 | FlashTorch | Visualization toolkit for neural networks in PyTorch | computer-vision |
| 118 | 411 | 2020-04-08 23:11:09 | W&B: Weights and Biases | Track model training at scale. | mlops |
| 119 | 419 | 2020-04-09 00:41:03 | Text Feature Selection for Causal Inference | Identifying the linguistic features that cause people to act a certain way after reading a text, regardless of confounding variables, is something people do. | natural-language-processing |
| 120 | 423 | 2020-04-09 00:57:49 | 3D Ken Burns Effect from a Single Image | Implementation of 3D Ken Burns Effect from a Single Image using PyTorch. | computer-vision |
| 121 | 424 | 2020-04-09 01:02:59 | Sparse Sinkhorn Attention | A new efficient and sparse method for learning to attend based on differentiable sorting of internal representations. | natural-language-processing |
| 122 | 425 | 2020-04-09 01:41:48 | Backtester | A backtesting framework for timeseries data. | other |
| 123 | 427 | 2020-04-09 18:57:01 | An Overview of Early Vision in InceptionV1 | A guided tour of the first five layers of InceptionV1, taxonomized into “neuron groups.” | computer-vision |
| 124 | 428 | 2020-04-10 04:57:53 | AiLight: Automatic Highlighting Using BERT | Automatically highlight pdfs using BERT embeddings and clustering. https://anishthite.github.io/ailight | natural-language-processing |
| 125 | 430 | 2020-04-10 15:28:43 | Controlling Text Generation with Plug and Play Language Models | This article discusses an alternative approach to controlled text generation, titled the Plug and Play Language Model (PPLM). | natural-language-processing |
| 126 | 431 | 2020-04-10 15:35:00 | Genomic ULMFiT | ULMFiT for Genomic Sequence Data | natural-language-processing |
| 127 | 432 | 2020-04-10 15:39:29 | Self-Supervised Learning and Computer Vision | So, what do you do if there are no pre-trained models in your domain? | computer-vision |
| 128 | 434 | 2020-04-10 15:51:52 | scispaCy | A full spaCy pipeline and models for scientific/biomedical documents. | natural-language-processing |
| 129 | 439 | 2020-04-10 17:33:38 | Universal Adversarial Triggers for Attacking and Analyzing NLP | We create short phrases that cause a specific model prediction when concatenated to 𝘢𝘯𝘺 input from a dataset. | natural-language-processing |
| 130 | 440 | 2020-04-10 17:39:19 | lazynlp | Library to scrape and clean web pages to create massive datasets. | natural-language-processing |
| 131 | 443 | 2020-04-10 17:51:39 | AllenNLP Interpret | A Framework for Explaining Predictions of NLP Models | natural-language-processing |
| 132 | 445 | 2020-04-10 18:00:50 | Natural Language Processing With spaCy in Python | A comprehensive guide to NLP with spaCy. | natural-language-processing |
| 133 | 446 | 2020-04-10 18:45:15 | Tips for Successfully Training Transformers on Small Datasets | It turns out that you can easily train transformers on small datasets when you use tricks (and have the patience to train a very long time). | natural-language-processing |
| 134 | 448 | 2020-04-10 19:14:59 | 🦄 How to build a SOTA Conversational AI with Transfer Learning | Train a dialog agent leveraging transfer Learning from an OpenAI GPT and GPT-2 Transformer language model. | natural-language-processing |
| 135 | 452 | 2020-04-10 20:18:20 | CS224n: Natural Language Processing with Deep Learning | In this course, students will gain a thorough introduction to cutting-edge research in Deep Learning for NLP. | natural-language-processing |
| 136 | 453 | 2020-04-10 20:23:21 | CS231n: Convolutional Neural Networks for Visual Recognition | Deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. | computer-vision |
| 137 | 455 | 2020-04-10 20:31:09 | Illustrated: Self-Attention | Step-by-step guide to self-attention with illustrations and code. | natural-language-processing |
| 138 | 459 | 2020-04-10 21:05:32 | Beyond the Pixel Plane: Sensing and Learning in 3d | Recent deep learning techniques that enable 3D object classification and semantic segmentation. | computer-vision |
| 139 | 462 | 2020-04-11 16:52:35 | A Visual Guide to Self-Labelling Images | A self-supervised method to generate labels via simultaneous clustering and representation learning | computer-vision |
| 140 | 465 | 2020-04-13 02:18:51 | 3D Photography using Context-aware Layered Depth Inpainting | A multi-layer representation for novel view synthesis that contains hallucinated color and depth structures in regions occluded in the original view. | computer-vision |
| 141 | 466 | 2020-04-13 18:48:40 | Tokenizers: How Machines Read | A survey of different tokenization strategies in NLP. | natural-language-processing |
| 142 | 467 | 2020-04-13 19:43:35 | Practical Text Classification With Python and Keras | You will get a grasp of current advancements of (deep) neural networks and how they can be applied to text. | natural-language-processing |
| 143 | 468 | 2020-04-13 19:45:46 | Text Classification With Torchtext | This example shows how to train a supervised learning algorithm for classification using one of these TextClassification datasets. | natural-language-processing |
| 144 | 469 | 2020-04-13 21:17:44 | Understanding Text With Bert | Building a machine reading comprehension system using the latest advances in deep learning for NLP. | natural-language-processing |
| 145 | 470 | 2020-04-13 21:38:20 | Transfer Learning with T5: the Text-To-Text Transfer Transformer | In the paper, we demonstrate how to achieve state-of-the-art results on multiple NLP tasks using a text-to-text transformer pre-trained on a large text corpus. | natural-language-processing |
| 146 | 471 | 2020-04-13 21:48:48 | Building a COVID-19 Project Recommendation System | How to create a GitHub open source repo recommendation system web app with MLflow, Sagemaker, and Booklet.ai. | natural-language-processing |
| 147 | 473 | 2020-04-13 22:33:21 | Neural Machine Translation With Attention | This notebook trains a sequence to sequence (seq2seq) model for Spanish to English translation. | natural-language-processing |
| 148 | 474 | 2020-04-13 22:48:49 | PyTorch Tutorial for Deep Learning Researchers | This repository provides tutorial code for deep learning researchers to learn PyTorch. | computer-vision |
| 149 | 476 | 2020-04-14 00:40:10 | Show and Tell: A Neural Image Caption Generator | A TensorFlow implementation of the image-to-text model. | computer-vision |
| 150 | 477 | 2020-04-14 01:46:32 | SimpleGAN | A Tensorflow-based framework to ease the training of generative models | computer-vision |
| 151 | 478 | 2020-04-14 02:41:43 | Semantic Segmentation on MIT ADE20K dataset in PyTorch | Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset. | computer-vision |
| 152 | 480 | 2020-04-14 03:46:09 | ViLBERT-MT: Multi-Task Vision & Language Representation Learning | A single ViLBERT Multi-Task model can perform 8 different vision and language tasks learnt from 12 datasets! | computer-vision |
| 153 | 481 | 2020-04-14 03:50:18 | Training an Image Classifier in PyTorch | Torchvision, that has data loaders for common datasets such as Imagenet, CIFAR10, MNIST, etc. and data transformers for images, vizualization and data loaders. | computer-vision |
| 154 | 482 | 2020-04-14 17:28:37 | A Visual Exploration of DeepCluster | DeepCluster is a self-supervised method to combine clustering and representation learning | computer-vision |
| 155 | 486 | 2020-04-14 20:12:43 | A 2019 guide to Human Pose Estimation with Deep Learning | The basics of Human Pose Estimation (2D) and review the literature on this topic. | computer-vision |
| 156 | 489 | 2020-04-14 22:22:40 | Deep Learning Based Super Resolution, Without Using a GAN | Techniques and training a deep learning model for image improvement, image restoration, inpainting and super resolution. | computer-vision |
| 157 | 490 | 2020-04-14 22:35:21 | U-Net Deep Learning Colorization of Greyscale Images | This article describes experiments training a neural network to generate 3 channel colour images from single channel greyscale images using deep learning. | computer-vision |
| 158 | 491 | 2020-04-14 22:38:54 | Deep Learning for Image Super-resolution: A Survey | This article aims to provide a comprehensive survey on recent advances of image super-resolution using deep learning approaches. | computer-vision |
| 159 | 492 | 2020-04-14 22:41:52 | Second-order Attention Network for Single Image Super-resolution | We propose a second-order attention network (SAN) for more powerful feature expression and feature correlation learning. | computer-vision |
| 160 | 493 | 2020-04-14 22:52:49 | DeepSORT: Deep Learning to Track Custom Objects in a Video | A look at deep learning based approached for object tracking. | computer-vision |
| 161 | 494 | 2020-04-14 22:59:56 | Fast Online Object Tracking and Segmentation: A Unifying Approach | We illustrate how to perform both realtime object tracking and semi-supervised video object segmentation using a fully-convolutional Siamese approach. | computer-vision |
| 162 | 495 | 2020-04-14 23:10:48 | Neural Style Transfer | This tutorial uses deep learning to compose one image in the style of another image (ever wish you could paint like Picasso or Van Gogh?). | computer-vision |
| 163 | 499 | 2020-04-14 23:34:32 | Deep Learning for Videos: A 2018 Guide to Action Recognition | In this post, I summarize the literature on action recognition from videos. | computer-vision |
| 164 | 501 | 2020-04-15 15:20:56 | Shakespeare Meets Google's Flax | Application of RNNs in Flax: Character-Level Language Model. | natural-language-processing |
| 165 | 505 | 2020-04-15 15:59:30 | Anomaly detection with Keras, TensorFlow, and Deep Learning | Perform anomaly detection in your own image datasets using deep learning. | computer-vision |
| 166 | 507 | 2020-04-15 16:12:41 | Almost Everything You Need to Know About Time Series | Understand moving average, exponential smoothing, stationarity, autocorrelation, SARIMA, and more. | other |
| 167 | 508 | 2020-04-15 16:29:08 | STEFANN: Scene Text Editor using Font Adaptive Neural Network | A generalized method for realistic modification of textual content present in a scene image. ⭐️ Accepted in CVPR 2020. | computer-vision |
| 168 | 509 | 2020-04-15 16:34:04 | Time Series Prediction with LSTM Using PyTorch | Time series applied to forecasting on the Airplane Passengers Dataset. | other |
| 169 | 513 | 2020-04-15 17:05:36 | lda2vec: Tools for interpreting natural language | The lda2vec model tries to mix the best parts of word2vec and LDA into a single framework. | natural-language-processing |
| 170 | 516 | 2020-04-15 17:21:53 | Deep Learning for Object Detection: A Comprehensive Review | A closer look at Tensorflow’s object detection models: Faster R-CNN, R-FCN, and SSD. | computer-vision |
| 171 | 517 | 2020-04-15 17:31:22 | An Intuitive Guide to Deep Network Architectures | Intuition behind base network architectures like MobileNets, Inception, and ResNet. | computer-vision |
| 172 | 529 | 2020-04-15 19:39:24 | Real-Time Voice Cloning | Clone a voice in 5 seconds to generate arbitrary speech in real-time. Code for Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech. | natural-language-processing |
| 173 | 549 | 2020-04-16 03:48:35 | 15 Best Tools for Tracking Machine Learning Experiments | A feature comparison of all the open-source and commercial options for experiment tracking. | mlops |
| 174 | 550 | 2020-04-16 08:14:50 | Cycle GAN in TensorFlow 2.0 with Custom Loops | Implementation of "Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks" by Jun-Yan Zhu et al. | computer-vision |
| 175 | 552 | 2020-04-16 10:13:12 | Holopix50k: A Large-Scale In-the-wild Stereo Image Dataset | The largest dataset of in-the-wild stereo image pairs (50K) crowd-sourced from the Holopix lightfield image-sharing social network. | computer-vision |
| 176 | 558 | 2020-04-16 15:49:29 | PyTorch Notebooks | 🔥A collection of PyTorch notebooks for learning and practicing deep learning | natural-language-processing |
| 177 | 564 | 2020-04-17 13:16:09 | Optimize your ML models | Learn to use optimize your custom image classification models (built-in tf.keras) using TensorFlow Lite and gain 10x reduction in model's size. | computer-vision |
| 178 | 566 | 2020-04-17 21:57:35 | Machine learning deserves its own flavor of Continuous Delivery | When traveling in the data science world, I'm homesick for a smooth continuous delivery flow. My thoughts on approachable CD4ML. | mlops |
| 179 | 574 | 2020-04-20 00:23:44 | The Abstraction and Reasoning Corpus (ARC) | Can a computer learn complex, abstract tasks from just a few examples? ARC can be used to measure a human-like form of general fluid intelligence. | natural-language-processing |
| 180 | 580 | 2020-04-20 00:57:03 | GitHub Actions & Machine Learning Workflows with Hamel Husain | In this talk, Hamel will provide a brief tutorial on GitHub Actions, and will show you how you can use this new tool to automate your ML workflows. | mlops |
| 181 | 581 | 2020-04-20 01:01:38 | How To Create Semantic Search For Arbitrary Objects | An end-to-end example of how to build a system that can search objects semantically. By Hamel Husain & Ho-Hsiang Wu | natural-language-processing |
| 182 | 598 | 2020-04-22 16:33:59 | The Future of (Transfer Learning in) Natural Language Processing | Transfer Learning in Natural Language Processing (NLP): Open questions, current trends, limits, and future directions. | natural-language-processing |
| 183 | 599 | 2020-04-22 16:43:13 | MONAI | AI Toolkit for Healthcare Imaging. | computer-vision |
| 184 | 601 | 2020-04-22 17:41:06 | How I Used Deep Learning To Train A Chatbot To Talk Like Me | Facebook chatbot that I trained to talk like me using Seq2Seq. | natural-language-processing |
| 185 | 602 | 2020-04-23 00:36:02 | DialoGPT: Toward Human-Quality Conversational Response Generation | Large-scale pre-training for dialogue. | natural-language-processing |
| 186 | 605 | 2020-04-23 03:59:57 | Upside Down Reinforcement Learning | Implementation of UDRL as outlined by Juergen Schmidhuber in https://arxiv.org/abs/1912.02875 | other |
| 187 | 608 | 2020-04-23 12:52:02 | PyImageSearch | An online platform of blogs on Computer Vision and Deep Learning. | computer-vision |
| 188 | 619 | 2020-04-23 16:55:27 | Implementing Portrait Bokeh Mode using OpenCV and NumPy (Python) | Do you love the portrait mode in your smartphone? This code will help you do the same using OpenCV and NumPy! Detects the faces, asks if you want to blur them! | computer-vision |
| 189 | 621 | 2020-04-23 18:17:12 | MixNMatch | Multifactor Disentanglement and Encoding for Conditional Image Generation | computer-vision |
| 190 | 622 | 2020-04-23 21:40:09 | MT-Clinical BERT | Scaling Clinical Information Extraction with Multitask Learning | natural-language-processing |
| 191 | 623 | 2020-04-24 00:30:02 | medaCy | 🏥 Medical Text Mining and Information Extraction with spaCy | natural-language-processing |
| 192 | 632 | 2020-04-24 11:37:13 | Lagrangian Neural Networks | Trying to learn a simulation? Try Lagrangian Neural Networks, which explicitly conserve energy and may generalize better! | other |
| 193 | 639 | 2020-04-24 20:51:18 | ML Foundations and Methods for Precision Medicine and Healthcare | This tutorial will discuss ideas from machine learning that enable personalization (useful for applications in education, retail, medicine and recsys). | other |
| 194 | 643 | 2020-04-26 04:34:02 | Albert-base for Sanskrit | Trained Albert-base from scratch on Sanskrit corpus of Wikipedia. I have also added a link to how to train your own Language model from scratch. | natural-language-processing |
| 195 | 644 | 2020-04-26 05:42:37 | Adversarial Latent Autoencoders | Introducing the Adversarial Latent Autoencoder (ALAE), a general architecture that can leverage recent improvements on GAN training procedures. | computer-vision |
| 196 | 652 | 2020-04-28 15:14:00 | Optimal Transport and the Sinkhorn Transformer | Understand optimal transport and the Sinkhorn-Knopp algorithm before diving into the Sinkhorn Transformer. | natural-language-processing |
| 197 | 653 | 2020-04-28 16:20:29 | Semantic Graphs for Generating Deep Questions | Deep Question Generation (DQG), which aims to generate complex questions that require reasoning over multiple pieces of information of the input passage. | natural-language-processing |
| 198 | 658 | 2020-04-28 21:34:00 | Gutenberg Dialog | Build a dialog dataset from online books in many languages. | natural-language-processing |
| 199 | 661 | 2020-04-29 02:41:24 | Better NLP project | This is a wrapper program/library that encapsulates a couple of NLP libraries that are popular among the AI and ML communities. | natural-language-processing |
| 200 | 663 | 2020-04-29 04:42:16 | Recipes for building an open-domain chatbot | Python framework for sharing, training and testing dialogue models, from open-domain chitchat to VQA (Visual Question Answering). | natural-language-processing |
| 201 | 665 | 2020-04-29 10:46:20 | Object-detection with multi-template matching | This python package allows to perform object detection using one or a few template images, it provides a simpler alternative to deep-learning methods | computer-vision |
| 202 | 667 | 2020-04-29 18:34:28 | No Trump Social Chrome Plugin | An AI-driven Browser Extension to Replace Trump Pics with Puppies! | computer-vision |
| 203 | 670 | 2020-04-29 19:35:22 | Attribute2Font: Creating Fonts You Want From Attributes | Official PyTorch implementation of the Attribute2Font: Creating Fonts You Want From Attributes. | natural-language-processing |
| 204 | 674 | 2020-04-30 17:52:55 | YOLOv4: Optimal Speed and Accuracy of Object Detection | A minimal implementation of YOLOv4. | computer-vision |
| 205 | 679 | 2020-05-01 16:17:32 | Geometric and Relational Deep Learning | Videos from emerging fields of Graph Representation Learning and Geometric Deep Learning. | other |
| 206 | 683 | 2020-05-01 16:35:06 | TAPAS: Weakly Supervised Table Parsing via Pre-training | Using neural networks to find answers in tables. | natural-language-processing |
| 207 | 686 | 2020-05-01 16:59:48 | Jukebox: A Generative Model for Music | We’re introducing Jukebox, a neural net that generates music, including rudimentary singing, as raw audio in a variety of genres and artist styles. | natural-language-processing |
| 208 | 687 | 2020-05-01 17:17:48 | Exploratory Data Analysis of Time Series | Exploratory Data Analysis of Time Series data in Python. It uses lot of the principles and concepts discussed in Prof. Hyndman's book. The focus is on understa | other |
| 209 | 688 | 2020-05-01 17:47:40 | Gotchas of Transfer Learning for Image Classification | Discover the things you should care about while doing transfer learning for image classification. | computer-vision |
| 210 | 693 | 2020-05-02 05:05:44 | SciTLDR: Extreme Summarization of Scientific Documents | A new automatic summarization task with high source compression requiring expert background knowledge and complex language understanding. | natural-language-processing |
| 211 | 694 | 2020-05-02 15:29:06 | BLINK: Better entity LINKing | Entity Linking python library that uses Wikipedia as the target knowledge base. | natural-language-processing |
| 212 | 695 | 2020-05-02 21:33:31 | Five Cool Python Libraries for Data Science | Python is a best friend for the majority of the Data Scientists. Libraries make their life simpler. I have come across five cool Python libraries while working | natural-language-processing |
| 213 | 700 | 2020-05-03 13:49:29 | Fastai2 Vision Module | A detailed guide to using fastai2 Datablock API for common computer vision tasks | computer-vision |
| 214 | 702 | 2020-05-03 20:19:10 | Unsupervised Question Decomposition for Question Answering | Decompose hard (multi-hop) questions into several, easier (single-hop) questions using unsupervised learning, and get better accuracy on multi-hop QA. | natural-language-processing |
| 215 | 704 | 2020-05-04 11:58:27 | Training Batch Norm and Only Batch Norm | Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al. | computer-vision |
| 216 | 707 | 2020-05-05 03:36:50 | The Big Bad NLP Database | A collection of 400+ NLP datasets with papers included. | natural-language-processing |
| 217 | 708 | 2020-05-05 03:51:53 | POINTER: Constrained Text Generation | Constrained Text Generation via Insertion-based Generative Pre-training | natural-language-processing |
| 218 | 712 | 2020-05-05 05:55:46 | Covid-19: A-Geo-Statistical-Analysis | Analysis with the time series data available for various countries. | other |
| 219 | 713 | 2020-05-05 07:13:49 | Cognito : Data wrangling toolkit | Cognito is an exclusive python data preprocessing library and command-line utility that helps any developer to transform raw data into a machine-learning format | other |
| 220 | 717 | 2020-05-05 14:46:57 | Synthesizer: Rethinking Self-Attention in Transformer Models | The dot product self-attention is known to be central and indispensable to state-of-the-art Transformer models. But is it really required? | natural-language-processing |
| 221 | 726 | 2020-05-06 01:10:55 | ConvNets-TensorFlow2 | Implementing a variety of popular and important CNN architectures | computer-vision |
| 222 | 732 | 2020-05-06 04:20:43 | StellarGraph - Machine Learning on Graphs | State-of-the-art algorithms for graph machine learning, making it easy to discover patterns and answer questions about graph-structured data. | other |
| 223 | 733 | 2020-05-06 04:30:47 | LandCover.ai | Dataset for automatic mapping of buildings, woodlands and water from aerial imagery. | computer-vision |
| 224 | 734 | 2020-05-06 04:33:15 | Generating SOAP Notes from Doctor-Patient Conversations | Evaluate complete pipelines for leveraging these transcripts to train machine learning model to generate these notes. | natural-language-processing |
| 225 | 741 | 2020-05-07 01:15:12 | Zero-shot Neural Retrieval via Domain-targeted Synthetic Queries | Zero-shot learning for ad-hoc retrieval models that relies on synthetic query generation. | natural-language-processing |
| 226 | 778 | 2020-05-07 21:28:34 | Harry Potter and the Deep Learning Experiment | RNN built with TensorFlow to generate text based on Harry Potter's books. | natural-language-processing |
| 227 | 783 | 2020-05-08 14:44:04 | NeuralCook — Image2Ingredients and Cooking Recommendation | Deep learning application to identify ingredients from cooking dishes images and recommend dishes to cook, given a set of ingredients. | natural-language-processing |
| 228 | 788 | 2020-05-09 04:12:10 | NER model for 40 languages trained with the new TFTrainer | This model is a fine-tuned XLM-Roberta-base over the 40 languages proposed in XTREME from Wikiann. | natural-language-processing |
| 229 | 791 | 2020-05-09 14:30:08 | Pose Animator | Takes a 2D vector illustration and animates its containing curves in real-time based on the recognition result from PoseNet and FaceMesh. | computer-vision |
| 230 | 792 | 2020-05-09 16:59:54 | A Commit History of BERT and its Forks | What a commit history of version-controlled research papers could look like? | natural-language-processing |
| 231 | 795 | 2020-05-10 04:51:17 | U^2-Net | The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection." | computer-vision |
| 232 | 796 | 2020-05-10 05:08:27 | Age and Gender Estimation using Multi-Task CNN | Used a multi task CNN to predict the age group and gender of the person in the image. | computer-vision |
| 233 | 797 | 2020-05-10 15:31:27 | Data augmentation recipes in tf.keras image-based models | Learn about different ways of doing data augmentation when training an image classifier in tf.keras. | computer-vision |
| 234 | 799 | 2020-05-11 00:40:49 | Injecting Inductive Bias in Graph Neural Networks (MIT talk) | Equivariant Mesh Neural Networks and Neural Augmented (Factor) Graph Neural Networks. | other |
| 235 | 800 | 2020-05-11 00:44:10 | Feature Stores for ML | List of production ML groups and their open-source feature store architectures. | mlops |
| 236 | 803 | 2020-05-11 02:13:32 | Image Semantic Segmentation of UAV mining area based on Deeplabv3 | Data: UAV mining area image Tools: PyTorch Frame: Deeplabv3 Semantic Segmentation | computer-vision |
| 237 | 820 | 2020-05-11 14:19:18 | A Comprehensive Survey on Graph Neural Networks | A Comprehensive Survey on Graph Neural Networks. | other |
| 238 | 821 | 2020-05-11 15:03:57 | Hidden Technical Debt in Machine Learning Systems | Using the software engineering framework of technical debt, we find it is common to incur massive ongoing maintenance costs in real-world ML systems. | mlops |
| 239 | 822 | 2020-05-11 15:10:09 | In-Domain GAN Inversion for Real Image Editing | We propose an in-domain GAN inversion method, which faithfully reconstructs the input image but also ensures the inverted code to be semantically meaningful. | computer-vision |
| 240 | 825 | 2020-05-11 23:07:39 | Neural Networks for NLP (CMU CS 11-747) | This class will start with a brief overview of neural networks, then spend the majority of the class demonstrating how to apply neural networks to language. | natural-language-processing |
| 241 | 826 | 2020-05-12 03:02:02 | DANet PyTorch | A Pytorch implementation of Dual Attention Network for Scene Segmentation | computer-vision |
| 242 | 828 | 2020-05-12 05:04:58 | BART version of closed-book QA | This is a BART version of sequence-to-sequence model for open-domain QA in a closed-book setup, based on PyTorch and Huggingface's Transformers. | natural-language-processing |
| 243 | 829 | 2020-05-12 05:07:35 | Unsupervised Reinforcement Learning | Lecture on unsupervised reinforcement learning by Sergey Levine. Originally prepared for AAMAS 2020. | other |
| 244 | 831 | 2020-05-13 02:24:24 | CCNet_PyTorch | A PyTorch Implementation of CCNet: Criss-Cross Attention for Semantic Segmentation | computer-vision |
| 245 | 832 | 2020-05-13 04:22:09 | Image segmentation in 2020 | Architectures, Losses, Datasets, and Frameworks | computer-vision |
| 246 | 833 | 2020-05-13 04:27:08 | Plan2Explore: Plan to Explore via Self-Supervised World Models | A self-supervised reinforcement learning agent that tackles task-specific and the sample efficiency challenges. | other |
| 247 | 835 | 2020-05-13 04:39:31 | Toward Better Storylines with Sentence-Level Language Models | We propose a sentence-level language model which selects the next sentence in a story from a finite set of fluent alternatives. | natural-language-processing |
| 248 | 836 | 2020-05-13 04:43:57 | Epipolar Transformers | Differentiable "epipolar transformer", which enables the 2D detector to leverage 3D-aware features to improve 2D pose estimation. | computer-vision |
| 249 | 840 | 2020-05-13 05:03:33 | Machine Learning on Graphs: A Model and Comprehensive Taxonomy | We propose a simple framework (GraphEDM) and a comprehensive Taxonomy to review and unify several graph representation learning methods. | other |
| 250 | 841 | 2020-05-13 05:10:58 | BLEURT: Learning Robust Metrics for Text Generation | A metric for Natural Language Generation based on transfer learning. | natural-language-processing |
| 251 | 842 | 2020-05-13 13:20:07 | Identifying Brain Tumor from MRI images using FastAI -DynamicUnet | To use FASTAI unet learner to identify tumours from MRI of Brain, logging loss metrics in Neptune AI logger and compare the results after hyperparameter tuning. | computer-vision |
| 252 | 847 | 2020-05-13 22:53:36 | HuggingTweets | Tweet Generation with Huggingface. | natural-language-processing |
| 253 | 849 | 2020-05-13 22:59:38 | Top Down Introduction to BERT with HuggingFace and PyTorch | I will also provide some intuition into how BERT works with a top down approach (applications to algorithm). | natural-language-processing |
| 254 | 850 | 2020-05-13 23:02:29 | Transformers from Scratch | Attempt to explain directly how modern transformers work, and why, without some of the historical baggage. | natural-language-processing |
| 255 | 852 | 2020-05-14 07:11:26 | Scene Classification using Pytorch and Fast.ai | The objective is to classify Multi-label images using deep learning. Here I have used Fast.ai library for implementing the model. | computer-vision |
| 256 | 855 | 2020-05-14 12:32:20 | Fake new detection Pytorch | Fake News Detection by Learning Convolution Filters through Contextualized Attention. | natural-language-processing |
| 257 | 857 | 2020-05-14 14:25:11 | FastHugs: Sequence Classification with Transformers and Fastai | Fine-tune a text classification model with HuggingFace 🤗 transformers and fastai-v2. | natural-language-processing |
| 258 | 858 | 2020-05-14 14:35:37 | Open-Dialog Chatbots for Learning New Languages | A tutorial for automatically generate code comments using Deep Learning. | natural-language-processing |
| 259 | 860 | 2020-05-14 17:35:04 | Electra | ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators | natural-language-processing |
| 260 | 862 | 2020-05-14 19:13:59 | DQN In Pytorch Livestream Series | I'm doing a series of streams about reinforcement learning (starting from Q learning) focused on showing the work in as much detail as possible (e.g. debugging) | other |
| 261 | 863 | 2020-05-15 04:24:58 | S2IGAN: Speech-to-Image Generation via Adversarial Learning | A speech-to-image generation (S2IG) framework is proposed which translates speech descriptions to photo-realistic images without using any text information. | computer-vision |
| 262 | 864 | 2020-05-15 13:04:19 | Twitter Sentiment Analysis | This project is based on Natural Language processing (NLP), in this we do sentiment analysis(i.e, how much it is positive or negative) of tweets of any account. | natural-language-processing |
| 263 | 866 | 2020-05-15 13:51:56 | HuggingFace nlp library | nlp is a lightweight and extensible library to easily share and load dataset and evaluation metrics, already providing access to ~100 datasets and ~10 evaluatio | natural-language-processing |
| 264 | 868 | 2020-05-15 14:07:47 | RXNMapper: Unsupervised Attention-Guided Atom-Mapping | The atom-mapping information was learned by an ALBERT model trained in an unsupervised fashion on a large dataset of chemical reactions. | natural-language-processing |
| 265 | 869 | 2020-05-15 14:08:12 | ICLR 2020 Trends: Better & Faster Transformers for NLP | A summary of promising directions from ICLR 2020 for better and faster pretrained tranformers language models. | natural-language-processing |
| 266 | 875 | 2020-05-15 22:53:58 | Differentiable Reasoning over Text | We consider the task of answering complex multi-hop questions using a corpus as a virtual knowledge base (KB). | natural-language-processing |
| 267 | 877 | 2020-05-16 02:42:32 | Semi-supervised image classification with GANs | Shows how to perform semi-supervised image classification with GANs. The cover image is from Chapter 7, GANs in Action. | computer-vision |
| 268 | 879 | 2020-05-16 10:57:53 | HighRes-net: Multi-Frame Super-Resolution of satellite imagery | Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition. | computer-vision |
| 269 | 880 | 2020-05-16 11:50:31 | How Deep Is Your Love For Transfer Learning In NLP? | A review of NLP research | natural-language-processing |
| 270 | 881 | 2020-05-16 13:32:51 | Time Series Forecasting with TensorFlow.js | Machine learning is becoming increasingly popular these days and a growing number of the world’s population see it is as a magic crystal ball: predicting when a | other |
| 271 | 882 | 2020-05-16 13:35:31 | Phrases extraction and D3 Wordcloud | 100% JavaScript solution to extracting phrases from text and display key points in a beautiful D3 wordcloud. | natural-language-processing |
| 272 | 883 | 2020-05-16 13:37:44 | Reinforcement Learning Tic Tac Toe with Value Function | A reinforcement learning algorithm for agents to learn the tic-tac-toe, using the value function | other |
| 273 | 884 | 2020-05-16 13:40:07 | Build a Textual Similarity Web App with TensorFlow.js | Have you wondered how search engines understand your queries and retrieve relevant results? How chatbots extract your intent from your questions and provide the | natural-language-processing |
| 274 | 890 | 2020-05-16 19:51:33 | cyBERT: Applying BERT to Windows event logs | This blog shows how interpreting cybersecurity logs as a natural language, improving upon the standard regex-based parsing of log data. | natural-language-processing |
| 275 | 892 | 2020-05-17 02:08:12 | DPOD: Pose Estimator | PyTorch recreation of a SOTA 6D Pose estimation research paper. | computer-vision |
| 276 | 893 | 2020-05-17 04:44:04 | ESTorch | ESTorch is an Evolution Strategy Library build around PyTorch. | other |
| 277 | 894 | 2020-05-17 04:47:40 | A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS | Korbit, a large-scale, open-domain, mixed-interface, dialogue-based intelligent tutoring system (ITS). | natural-language-processing |
| 278 | 900 | 2020-05-17 08:14:24 | A Visual Survey of Data Augmentation in NLP | An extensive overview of text data augmentation techniques for Natural Language Processing | natural-language-processing |
| 279 | 901 | 2020-05-17 09:57:38 | DoYouEvenLearn | Essential Guide to keep up with AI/ML/DL/CV | computer-vision |
| 280 | 902 | 2020-05-18 00:57:27 | Differentiable Adaptive Computation Time for Visual Reasoning | DACT, a new algorithm for achieving adaptive computation time that, unlike existing approaches, is fully differentiable. | natural-language-processing |
| 281 | 903 | 2020-05-18 11:15:12 | Semixup: In- and Out-of-Manifold Regularization | Semixup is a semi-supervised learning method based on in/out-of-manifold regularization. | computer-vision |
| 282 | 905 | 2020-05-18 14:40:51 | Deep Reinforcement Learning for Supply Chain & Price Optimization | Explore how deep reinforcement learning methods can be applied in several basic supply chain and price management scenarios. | other |
| 283 | 907 | 2020-05-18 14:53:33 | TextAttack | A Python framework for building adversarial attacks on NLP models. | natural-language-processing |
| 284 | 913 | 2020-05-19 03:19:59 | aitextgen | A robust Python tool for text-based AI training and generation using GPT-2. | natural-language-processing |
| 285 | 914 | 2020-05-19 03:25:11 | How Hugging Face achieved a 2x performance boost for QA | Question Answering with DistilBERT in Node.js | natural-language-processing |
| 286 | 918 | 2020-05-19 22:36:09 | Accelerate your NLP pipelines using Hugging Face and ONNX | How the ONNX Runtime team and Hugging Face are working together to address challenges in training and deployment of Transformer models. | natural-language-processing |
| 287 | 920 | 2020-05-20 02:35:11 | Attentron | Few-shot text-to-speech exploiting attention-based variable length embedding | natural-language-processing |
| 288 | 921 | 2020-05-20 02:39:09 | Torch Points3D | Pytorch framework for doing deep learning on point clouds. | computer-vision |
| 289 | 922 | 2020-05-20 07:23:50 | NLP Model Selection | NLP model selection guide to make it easier to select models. This is prescriptive in nature and has to be used with caution. | natural-language-processing |
| 290 | 925 | 2020-05-20 16:20:28 | Model-Agnostic Meta-Learning for Reinforcement Learning with TF2 | Reimplementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2. | other |
| 291 | 927 | 2020-05-21 03:16:17 | FashionBERT | Text and image matching with adaptive loss for cross-modal retrieval. | natural-language-processing |
| 292 | 934 | 2020-05-21 03:45:38 | 📈 Automated Time Series Forecasting | This data app uses Facebook's open-source Prophet library to automatically forecast values into the future. | other |
| 293 | 935 | 2020-05-21 14:22:01 | Look inside the workings of "Label Smoothing" | This blog post describes how and why does "trick" of label smoothing improves the model accuracy and when should we use it | computer-vision |
| 294 | 938 | 2020-05-22 01:01:32 | Content and Style Disentanglement for Artistic Style Transfer | Hi-Res style transfer and interpolation between styles | computer-vision |
| 295 | 939 | 2020-05-22 03:08:40 | Time Series Classification Using Deep Learning | In this article, I will introduce you to a new package called timeseries for fastai2 that I lately developed. | other |
| 296 | 940 | 2020-05-22 03:16:29 | TAO: A Large-Scale Benchmark for Tracking Any Object | A diverse dataset for Tracking Any Object (TAO) consisting of 2,907 high resolution videos, captured in diverse environments, which are half a minute long on | computer-vision |
| 297 | 941 | 2020-05-22 03:21:10 | BiT: Exploring Large-Scale Pre-training for Compute | We are excited to share the best BiT models pre-trained on public datasets, along with code in TF2, Jax, and PyTorch. | computer-vision |
| 298 | 947 | 2020-05-22 13:34:30 | Self Driving Car | This project is a demonstration of a working model of self driving car 🚗🚗 identifying and following lanes using powerful computer vision 🕶🕶 algorithms. | computer-vision |
| 299 | 948 | 2020-05-22 13:39:15 | Plant Disease Detection | This website help you to detect disease in your plant🌳 based to the plant's leaf🍃 image | computer-vision |
| 300 | 951 | 2020-05-23 03:19:00 | YoloV3 implementation in keras and tensorflow 2.2 | YoloV3 Real Time Object Detector in tensorflow 2.2. | computer-vision |
| 301 | 952 | 2020-05-23 03:22:11 | Face Mask Detector | A simple Streamlit frontend for face mask detection in images using a pre-trained Keras CNN model + OpenCV and model interpretability. | computer-vision |
| 302 | 957 | 2020-05-23 09:18:52 | Colbert AI | Colbert AI is a Deep Learning Language Model that generates text in the style of Stephen Colbert's famous monologues. | natural-language-processing |
| 303 | 961 | 2020-05-23 16:01:21 | How to Build Robust Embeddings for Visual Similarity Tasks | This repository I package a bunch of tips and tricks to efficiently train deep learning models in computer vision | computer-vision |
| 304 | 962 | 2020-05-24 00:09:28 | Basic ML Algorithms from scratch. | Implement basic Machine Learning Algorithms from scratch in python. | natural-language-processing |
| 305 | 963 | 2020-05-24 03:13:28 | Build your first data warehouse with Airflow on GCP | What are the steps in building a data warehouse? What cloud technology should you use? How to use Airflow to orchestrate your pipeline? | mlops |
| 306 | 966 | 2020-05-24 10:24:03 | Building an Intelligent Twitter Bot | The volume of information going through Twitter per day makes it one of the best platforms to get information on any subject of interest. | natural-language-processing |
| 307 | 968 | 2020-05-24 16:40:46 | Self Supervised Representation Learning in NLP | An overview of self-supervised pretext tasks in Natural Language Processing | natural-language-processing |
| 308 | 970 | 2020-05-24 20:01:29 | Job Classification | Job Classification done using Techniques of NLP and ML. Dataset used from Kaggle of Indeeed job posting. | natural-language-processing |
| 309 | 972 | 2020-05-25 03:23:16 | Next Word Prediction | Using transformers to predict next word and predict <mask> word. | natural-language-processing |
| 310 | 974 | 2020-05-25 03:28:32 | PixelLib | Pixellib is a library for performing segmentation of images. | computer-vision |
| 311 | 978 | 2020-05-25 05:53:46 | TensorFlow.js - Gesture Controlled 2048 | Gesture Controlled 2048 built with TensorFlow.js | computer-vision |
| 312 | 979 | 2020-05-25 11:04:50 | Taxi Demand Prediction NewYorkCity | Predict the number of pickups as accurately as possible for each region in a 10 -min interval. | other |
| 313 | 980 | 2020-05-25 14:52:17 | Super-BPD for Fast Image Segmentation | We propose direction-based super-BPD, an alternative to superpixel, for fast generic image segmentation, achieving state-of-the-art real-time result. | computer-vision |
| 314 | 986 | 2020-05-26 03:47:15 | Neural Topological SLAM for Visual Navigation | Topological representations for space that effectively leverage semantics and afford approximate geometric reasoning. | computer-vision |
| 315 | 987 | 2020-05-26 13:16:48 | Zero To One For NLP | A collection of all resources for learning NLP | natural-language-processing |
| 316 | 989 | 2020-05-26 17:17:14 | NLP for Developers: Shrinking Transformers | Rasa | In this video, Rasa Senior Developer Advocate Rachael will talk about different approaches to make transformer models smaller. | natural-language-processing |
| 317 | 993 | 2020-05-27 05:26:33 | DETR: End-to-End Object Detection with Transformers | A new method that views object detection as a direct set prediction problem. | computer-vision |
| 318 | 997 | 2020-05-28 03:20:06 | AutoSweep: Recovering 3D Editable Objects from a Single Photo | Fully automatic framework for extracting editable 3D objects directly from a single photograph. | computer-vision |
| 319 | 1000 | 2020-05-28 03:33:52 | CMU LTI Low Resource NLP Bootcamp 2020 | A low-resource natural language and speech processing bootcamp held by the Carnegie Mellon University Language Technologies Institute in May 2020. | natural-language-processing |
| 320 | 1007 | 2020-05-28 21:30:37 | Humour.ai : Language Model that can crack Jokes | A Language model that can make you laugh. Humour.ai model tries to complete a sentence in a humourous way given some input words. | natural-language-processing |
| 321 | 1008 | 2020-05-29 02:28:53 | face mask detection | detects whether a person wearing a mask or not | computer-vision |
| 322 | 1009 | 2020-05-29 02:47:06 | Train ALBERT for NLP with TensorFlow on Amazon SageMaker | To train BERT in 1 hour, we efficiently scaled out to 2,048 NVIDIA V100 GPUs by improving the underlying infrastructure, network, and ML framework. | natural-language-processing |
| 323 | 1010 | 2020-05-29 02:51:39 | GPT-3: Language Models are Few-Shot Learners | We show that scaling up language models greatly improves task-agnostic, few-shot performance, sometimes even reaching competitiveness with prior SOTA. | natural-language-processing |
| 324 | 1013 | 2020-05-29 03:06:41 | Guided Uncertainty-Aware Policy Optimization | Combining learning and model-based strategies for sample-efficient policy learning. | other |
| 325 | 1018 | 2020-05-29 08:09:04 | GOTURN-PyTorch | PyTorch implementation of "Learning to Track at 100 FPS with Deep Regression Networks" | computer-vision |
| 326 | 1020 | 2020-05-29 09:54:04 | Applying Modern Best Practices to Autoencoders | This project applies best modern practices found in other areas of image research to autoencoders. Comparing models from other areas of image research. | computer-vision |
| 327 | 1021 | 2020-05-29 10:33:26 | Sentiment analysis | Sentiment analysis by combining three dataset amazon,yelp, IMDb reviews to train our,model to classify if a comment is negative or positive denoted by 0 and 1. | natural-language-processing |
| 328 | 1022 | 2020-05-29 13:27:20 | The designer - gpt2 bot that talks about UX Design | This twitter profile spits out thoughts on design and development. Trained with hundreds of Books on UX design and Front end development, it has opinions. | natural-language-processing |
| 329 | 1024 | 2020-05-29 14:15:30 | Sentiment Classification for UtaPass & KKBOX Reviews | Text classification for reviews of UtaPass & KKBOX using different deep learning models. | natural-language-processing |
| 330 | 1025 | 2020-05-29 14:18:59 | Forex Prediction | Using neural networks to predict movement of forex direction. | natural-language-processing |
| 331 | 1026 | 2020-05-29 14:24:07 | Lyrics-Based Music Genre Classifier | Classify the genre (Rock, Pop, Hip-Hop, Not Available, Metal, Other, Country, Jazz, Electronic, R&B, Indie, Folk) of the song by its lyrics. | natural-language-processing |
| 332 | 1028 | 2020-05-29 14:39:16 | ARBML | Implementation of many Arabic NLP and ML projects. Providing real time experience using many interfaces like web, command line and notebooks. | natural-language-processing |
| 333 | 1035 | 2020-05-29 16:11:11 | Zero Shot Topic Classification | Bart with a classification head trained on MNLI. | natural-language-processing |
| 334 | 1045 | 2020-05-30 01:35:24 | Illustrated Guide to Transformers: Step by Step Explanation | In this post, we’ll focus on the one paper that started it all, “Attention is all you need”. | natural-language-processing |
| 335 | 1046 | 2020-05-30 01:39:25 | Illustrated Guide to Transformers | A component by component breakdown analysis. | natural-language-processing |
| 336 | 1055 | 2020-05-30 09:02:27 | Automatic-Face-Detection-Annotation-and-Preprocessing | Automatically detect , annotate , collect the coordinates , convert to csv and to tfrecord | computer-vision |
| 337 | 1058 | 2020-05-30 09:43:39 | SmartFeed.ai | NLP Based Article Recommendation System | natural-language-processing |
| 338 | 1059 | 2020-05-30 10:50:55 | Wheat Detection 🌾 | This is a project for detecting and creating bounding box of wheat heads 🌾. | computer-vision |
| 339 | 1068 | 2020-05-30 18:20:40 | Effects of News Sentiments on Stock Predictions | Project is based on the Natural Language Processing technique called Sentiment Analysis. Stock market and news related to it as the subject of analysis. | natural-language-processing |
| 340 | 1069 | 2020-05-30 20:04:49 | NLP News Category | The objective of this repository is to create a NLP bot for when you give the robot the headline of the news and a short description it will return the genre. | natural-language-processing |
| 341 | 1070 | 2020-05-30 20:06:48 | AI Debate Master | Created and deployed a bot made to debate with a human on any given topic. Employed a Doc2Vec model using Gensim library in Python | natural-language-processing |
| 342 | 1075 | 2020-05-31 04:44:27 | Zero-Shot Learning for Text Classification | A visual summary of “Train Once, Test Anywhere” paper for zero-shot text classification | natural-language-processing |
| 343 | 1080 | 2020-05-31 05:23:23 | Dash DETR Detection App | A User Interface for DETR built with Dash. 100% Python. | computer-vision |
| 344 | 1081 | 2020-05-31 05:28:53 | AI Basketball Analysis | 🏀 AI web app and API to analyze basketball shots and shooting pose. | computer-vision |
| 345 | 1083 | 2020-05-31 08:20:06 | Reverse Image Search | Have you ever wondered how google image search works or How amazon can retrieve products similar to the image that we upload in the app/site? To achieve this ta | computer-vision |
| 346 | 1084 | 2020-05-31 08:22:45 | Beginner’s guide to Machine Learning Model Deployment | Are you a beginner in the field of machine learning and wondering how to bring your project to live. I'm was in the same situation when I started learning ML. M | mlops |
| 347 | 1093 | 2020-05-31 17:39:22 | MedicalZoo PyTorch | A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation | computer-vision |
| 348 | 1094 | 2020-05-31 19:11:28 | Paraphrase Any Question with T5 (Text-To-Text Transformer) | Given a question, generate paraphrased versions of the question with T5 transformer. Pretrained model and training script provided. | natural-language-processing |
| 349 | 1100 | 2020-06-01 05:56:43 | Movie Recommendation System | This is a web app which recommends movies based on their plots found on IMDb. | natural-language-processing |
| 350 | 1104 | 2020-06-01 10:02:09 | Convnet Galaxy Morphology Classifier | Classify galaxies from Hubble Tuning Fork using Convnet. | computer-vision |
| 351 | 1107 | 2020-06-01 14:52:29 | 2nd Place Solution to Ship Identification Hackathon | The problem statement was to identify the type of ship from photos taken from the survey boats. The hackathon was organized by Analytics Vidhya. | computer-vision |
| 352 | 1110 | 2020-06-01 16:44:55 | Deep learning Architecture: AlexNet | Explaining network architecture for AlexNet | computer-vision |
| 353 | 1111 | 2020-06-01 18:13:26 | Movement Pruning: Adaptive Sparsity by Fine-Tuning | We propose the use of movement pruning, a simple, deterministic first-order weight pruning method that is more adaptive to pretrained model fine-tuning. | natural-language-processing |
| 354 | 1112 | 2020-06-01 18:57:31 | Document search engine | NLP based search engine for single page pdf files. | natural-language-processing |
| 355 | 1115 | 2020-06-01 21:07:53 | Softbot design with WANNS | Soft robots are robots built from highly compliant materials, similar to those found in living organisms. This project explored CPPNs and WANNs to design them | other |
| 356 | 1121 | 2020-06-02 05:07:17 | Motion2Vec | Semi-Supervised Representation Learning from Surgical Videos | computer-vision |
| 357 | 1122 | 2020-06-02 05:10:18 | Machine Learning: Tests and Production | Best practices for testing ML-based systems. | mlops |
| 358 | 1130 | 2020-06-02 11:51:38 | Generate True or False questions from any content | Automatically generate “True or False” questions like the ones you see in school textbooks using OpenAI GPT2, Sentence BERT, and Berkley parser | natural-language-processing |
| 359 | 1131 | 2020-06-02 13:41:32 | Sized Fill-in-the-blank or Multi Mask filling with RoBERTa | Sized fill-in-the-blank or conditional text filling is the idea of filling missing words of a sentence with the most probable choice of words. | natural-language-processing |
| 360 | 1132 | 2020-06-02 14:56:10 | T5 for Sentiment Span Extraction | Exploring how T5 works and applying it for sentiment span extraction. | natural-language-processing |
| 361 | 1133 | 2020-06-02 14:58:58 | Getting Started with Time Series analysis using Pandas | An introductory guide to get started with the Time Series datasets in Python | other |
| 362 | 1135 | 2020-06-02 15:06:34 | Melanoma Detection with Pytorch | In this video, I show you how you can build a deep learning model to detect melanoma with a very high accuracy. | computer-vision |
| 363 | 1139 | 2020-06-02 19:53:37 | RoBERTa → Longformer: Build a "Long" Version of Pretrained Models | This notebook replicates the procedure descriped in the Longformer paper to train a Longformer model starting from the RoBERTa checkpoint. | natural-language-processing |
| 364 | 1145 | 2020-06-03 01:51:14 | Learning Dexterity End-to-End | We trained a human-like robot hand to manipulate physical objects with unprecedented dexterity. | other |
| 365 | 1148 | 2020-06-03 02:28:20 | A Practical guide to building a conversational chatbot | Building a Chatbot from scratch using Keras and NLTK library for a customer service company | natural-language-processing |
| 366 | 1151 | 2020-06-03 07:25:27 | Web Mining and Information theory | Mining the Web and playing with Natural Language processing. Implementing Information retrieval System tasks. Going towards the NLP and Performing Machine Learning algorithms. Through these codes and problems, I have understood the information retrieval process of any search engine. These are very useful problems towards sentiment analysis. | natural-language-processing |
| 367 | 1162 | 2020-06-03 22:05:30 | Deep Q-Network on Space Invaders. | This is a PyTorch implementation of a Deep Q-Network agent trained to play the Atari 2600 game of Space Invaders. | other |
| 368 | 1165 | 2020-06-04 03:53:43 | YOLOv4 | A TensorFlow 2.0 implementation of YOLOv4: Optimal Speed and Accuracy of Object Detection. | computer-vision |
| 369 | 1166 | 2020-06-04 03:55:53 | Acme: A Research Framework for Reinforcement Learning | A library of reinforcement learning components and agents. | other |
| 370 | 1176 | 2020-06-04 09:10:07 | doc2vec Paragraph Embeddings for Text Classification | Text classification model which uses gensim's Doc2Vec for generating paragraph embeddings and scikit-learn Logistic Regression for classification. | natural-language-processing |
| 371 | 1178 | 2020-06-04 12:19:52 | Machine Learning with Fastai | The fastai library is based on research into deep learning best practices undertaken at fast.ai, and includes support for Vision, Text, tabular and Collab | computer-vision |
| 372 | 1180 | 2020-06-04 14:58:19 | The Transformer … “Explained”? | An intuitive explanation of the Transformer by motivating it through the lens of CNNs, RNNs, etc. | natural-language-processing |
| 373 | 1181 | 2020-06-04 16:28:24 | TensorflowTTS: Real-Time SOTA Speech Synthesis for Tensorflow 2.0 | TensorflowTTS provides real-time state-of-the-art speech synthesis architectures such as Tacotron2, Melgan, FastSpeech. | natural-language-processing |
| 374 | 1185 | 2020-06-04 22:36:31 | PyTorch Transformers Tutorials | A set of annotated Jupyter notebooks, that give user a template to fine-tune transformers model to downstream NLP tasks such as classification, NER etc. | natural-language-processing |
| 375 | 1192 | 2020-06-05 04:28:52 | BERT Summarization | This folder contains colab notebooks that guide you through the summarization by BERT and GPT-2 to play with your data. | natural-language-processing |
| 376 | 1194 | 2020-06-05 04:35:14 | Divide Hugging Face Transformers Training Time By 2 | Reducing training time helps to iterate more in a fixed budget time and thus achieve better results. | natural-language-processing |
| 377 | 1199 | 2020-06-05 15:39:56 | How NLP has evolved for Financial Sentiment Analysis | Do we still need humans to read boring financial statements? | natural-language-processing |
| 378 | 1202 | 2020-06-05 17:51:33 | The NLP Pandect - All NLP resources in one place | The NLP Pandect was created to help you find almost anything related to Natural Language Processing that is available online. | natural-language-processing |
| 379 | 1203 | 2020-06-05 18:18:18 | Summary of 🤗 Transformers Models | A high-level summary of the differences between each model in HuggingFace's Transformer library. | natural-language-processing |
| 380 | 1204 | 2020-06-05 22:56:38 | Snaked: Classifying Snake Species using Images | Proof of concept that it is possible to identify snake species and whether poisonous from photographs (PyTorch code/model with Android app) | computer-vision |
| 381 | 1211 | 2020-06-06 15:13:13 | Literate Lamp: Answering Question with Common Sense | We study the problem of answering questions that require common sense to be answered using Transformer-based models and the ConceptNet knowledge base. | natural-language-processing |
| 382 | 1215 | 2020-06-06 19:00:39 | Pytorch Faster RCNN | Fine Tune Faster RCNN in pytorch for your task. | computer-vision |
| 383 | 1222 | 2020-06-07 04:34:58 | Paragraph Summarizer | Uses the extractive way of summarizing the text by finding the score and ranking it. | natural-language-processing |
| 384 | 1223 | 2020-06-07 04:39:32 | Leafy: Plant Leaf Classifier | The sequential model trained on images from the leafsnap.com | computer-vision |
| 385 | 1236 | 2020-06-07 21:03:31 | COVID-Q: A Dataset of 1,690 Questions about COVID-19 | This dataset consists of COVID-19 questions which have been annotated into a broad category (e.g. Transmission, Prevention) and a more specific class such that | natural-language-processing |
| 386 | 1237 | 2020-06-08 03:43:45 | Keras notifications on Slack! | Get slack notifications of your model's training progress when training with Keras (or tf.keras) | computer-vision |
| 387 | 1239 | 2020-06-08 07:05:15 | Zero-shot Text Classification With Generative Language Models | An overview of a text generation approach to zero-shot text classification with GPT-2 | natural-language-processing |
| 388 | 1241 | 2020-06-08 08:25:01 | Funnel-Transformer: Filtering out Sequential Redundancy | Funnel-Transformer is a self-attention model that gradually compresses the sequence of hidden states to a shorter one and hence reduces the computation cost. | natural-language-processing |
| 389 | 1243 | 2020-06-08 08:39:34 | Timeseries Anomaly Detection using an Autoencoder | Detect anomalies in a timeseries using an Autoencoder. | other |
| 390 | 1246 | 2020-06-08 09:47:02 | Fairseq-tagging | a Fairseq fork for sequence tagging/labeling tasks | natural-language-processing |
| 391 | 1249 | 2020-06-08 16:59:01 | Know-Corona : Kaggle COVID-19 Open Research Dataset Challenge (CO | NLP/state-of-the-art language model (BERT) based Question & Answering pipeline to answer all task questions after analyzing articles abstract of COVID-19, SARS- | natural-language-processing |
| 392 | 1251 | 2020-06-08 18:38:49 | Automatic Asset Classification | This project aims to automate the task of labelling images of flood defence assets as well as clustering images to find possibly better groupings. | computer-vision |
| 393 | 1255 | 2020-06-09 01:50:33 | TransformerTTS | 🤖💬 Transformer TTS: Implementation of a non-autoregressive Transformer based neural network for text to speech. | natural-language-processing |
| 394 | 1257 | 2020-06-09 01:58:48 | How Big Should My Language Model Be? | Tool to explore language model training and optimize the compute costs. | natural-language-processing |
| 395 | 1258 | 2020-06-09 02:04:49 | MSeg: A Composite Dataset for Multi-domain Semantic Segmentation | A composite dataset that unifies semantic segmentation datasets from different domains. | computer-vision |
| 396 | 1259 | 2020-06-09 02:11:15 | Network Fusion for Content Creation With Conditional Inns | We present a method to repurpose powerful, existing models for new tasks, even though they have never been designed for them. | computer-vision |
| 397 | 1260 | 2020-06-09 02:14:59 | Advanced Deep Learning for Computer Vision (ADL4CV) | The Visual Computing Group offers a variety of lectures and seminars on a regular basis, covering hot areas in computer graphics, vision, and machine learning. | computer-vision |
| 398 | 1272 | 2020-06-10 05:13:41 | Linformer: Self-Attention with Linear Complexity | We demonstrate that the self-attention mechanism can be approximated by a low-rank matrix. | natural-language-processing |
| 399 | 1274 | 2020-06-10 05:21:00 | Getting Machine Learning to Production | Machine learning is hard and there are a lot, a lot of moving pieces. | mlops |
| 400 | 1275 | 2020-06-10 05:24:07 | Exploration Strategies in Deep Reinforcement Learning | Exploitation versus exploration is a critical topic in reinforcement learning. This post introduces several common approaches for better exploration in Deep RL. | other |
| 401 | 1278 | 2020-06-10 12:50:41 | Automatically Generate Multiple Choice Questions (MCQs) | Automatically Generate Multiple Choice Questions (MCQs) from any content with BERT Summarizer, Wordnet, and Conceptnet | natural-language-processing |
| 402 | 1287 | 2020-06-10 18:27:24 | BERT Loses Patience: Fast and Robust Inference with Early Exit | Patience-based Early Exit, a inference method that can be used as a plug-and-play technique to simultaneously improve the efficiency of a pretrained LM. | natural-language-processing |
| 403 | 1298 | 2020-06-11 04:18:27 | PEGASUS: a SOTA model for Abstractive Text Summarization | A State-of-the-Art Model for Abstractive Text Summarization. | natural-language-processing |
| 404 | 1301 | 2020-06-11 04:29:24 | Big GANs Are Watching You | We demonstrate that object saliency masks for GAN-produced images can be obtained automatically with BigBiGAN. | computer-vision |
| 405 | 1309 | 2020-06-11 19:04:31 | Sentiment Analysis on News Article | Used Twitter API to extract news-related tweets. Did some preprocessing and then calculated the tweets' polarity. | natural-language-processing |
| 406 | 1310 | 2020-06-11 20:30:38 | GPT-3 Language Model: A Technical Overview | Technical details of the GPT-3 model, training, inference and what to expect next. | natural-language-processing |
| 407 | 1312 | 2020-06-11 20:37:47 | OpenAI API | API for accessing new AI models developed by OpenAI. | natural-language-processing |
| 408 | 1320 | 2020-06-12 04:17:08 | Implementation of a Contextual Chatbot in PyTorch | Simple chatbot implementation with PyTorch. | natural-language-processing |
| 409 | 1325 | 2020-06-12 11:06:34 | Author Identification using Doc2Vec | Web app of an author identification model trained on PAN 2012 dataset and Kaggle's Spooky Authorship Dataset | natural-language-processing |
| 410 | 1329 | 2020-06-12 12:44:18 | Training game agents with supervised learning | This is a continuing research project trying find ways to learn complex tasks such as games without using Reinforcement Learning. | other |
| 411 | 1371 | 2020-06-13 17:16:07 | Baymax - ChatBot | Baymax Chatbot is a part of my summer training program @AdHoc Networks, Jaipur. A chatbot that allows user to signup and login to maintain their record. When c | natural-language-processing |
| 412 | 1372 | 2020-06-13 17:21:43 | How to Evaluate Longformer on TriviaQA using NLP | We will evaluate a pretrained LongformerForQuestionAnswering model on the validation dataset of TriviaQA. | natural-language-processing |
| 413 | 1374 | 2020-06-13 17:28:13 | Extracting Structured Data from Templatic Documents | Automatically extract data from structured documents—invoices, receipts, etc.—with the potential to streamline many business workflows. | computer-vision |
| 414 | 1392 | 2020-06-13 20:58:33 | StackOver Flow Data Analysis | Analysing certain aspects of the stack overflow data and creating "Tag Predictor" which predicts tag based on the post posted. | natural-language-processing |
| 415 | 1398 | 2020-06-14 05:51:06 | Super-resolution Variational Auto-Encoders | VAE with RealNVP prior and Super-Resolution VAE in PyTorch. | computer-vision |
| 416 | 1399 | 2020-06-14 05:57:16 | Video object grounding | Video object grounding using semantic roles in language description. | computer-vision |
| 417 | 1418 | 2020-06-14 17:43:34 | Short Notes on Behavior Regularized Offline RL | Blog Article on Behavior Regularized Offline Reinforcement Learning by Yifan Wu et al. (2019) | other |
| 418 | 1423 | 2020-06-14 22:10:57 | Entity Embedding with LSTM for Time-Series | Demonstration of using LSTM for forecasting with structured time-series data, containing categorical and numerical features. | other |
| 419 | 1424 | 2020-06-15 02:27:55 | Why We Switched from Flask to FastAPI for Production ML | The most popular tool isn’t always the best. | mlops |
| 420 | 1425 | 2020-06-15 02:31:48 | Building a Captcha OCR in TF2.0 | A Kaggle notebook showcasing the use of an Endpoint layer for CTC loss function used for building a Captcha Reader in TensorFlow. | computer-vision |
| 421 | 1427 | 2020-06-15 02:40:48 | 101 Ways to Solve Search - Dair AI ft. Pratik Bhavsar | A comprehensive overview of explaining how NLP is used for search. | natural-language-processing |
| 422 | 1438 | 2020-06-15 11:06:35 | Multimodal Meme Classification | UNITER has given state of the art results in various image-text related problems. This project aims at finetuning UNITER to solve Hateful memes challenge | computer-vision |
| 423 | 1453 | 2020-06-16 01:32:49 | Interpretable Machine Learning for Computer Vision | Recent progress we made on visualization, interpretation, and explanation methodologies for analyzing both the data and the models in computer vision. | computer-vision |
| 424 | 1455 | 2020-06-16 02:32:53 | Predicting Unintentional Action in Video | We introduce a dataset of in-the-wild videos of unintentional action, as well as a suite of tasks for recognizing, localizing, and anticipating its onset. | computer-vision |
| 425 | 1457 | 2020-06-16 02:46:25 | Synthesizing High-Resolution Images with StyleGAN2 | Developed by NVIDIA Researchers, StyleGAN2 yields state-of-the-art results in data-driven unconditional generative image modeling. | computer-vision |
| 426 | 1458 | 2020-06-16 02:51:13 | PIFuHD: High-Resolution 3D Human Digitization | This repository contains a pytorch implementation of "Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization". | computer-vision |
| 427 | 1460 | 2020-06-16 03:21:07 | Instance Shadow Detection | Instance shadow detection aims to find shadow instances paired with object instances. | computer-vision |
| 428 | 1461 | 2020-06-16 03:24:02 | Detectron2 | FAIR's next-generation platform for object detection and segmentation. | computer-vision |
| 429 | 1473 | 2020-06-16 22:37:58 | tslearn | A machine learning toolkit dedicated to time-series data. | other |
| 430 | 1475 | 2020-06-16 22:45:15 | PyTorch3D | FAIR's library of reusable components for deep learning with 3D data. | computer-vision |
| 431 | 1476 | 2020-06-16 22:48:45 | Course Review - Causal Inference | Types of understanding that causal inference researchers value. | other |
| 432 | 1478 | 2020-06-16 22:56:31 | Unsupervised Learning of Probably Symmetric Deformable 3D Objects | A method to learn 3D deformable object categories from raw single-view images, without external supervision. | computer-vision |
| 433 | 1480 | 2020-06-16 23:06:13 | A Guide to Natural Language Processing With AllenNLP | basics of using AllenNLP | natural-language-processing |
| 434 | 1482 | 2020-06-17 12:12:03 | Real Time Object Detection using CNN YOLO | This project is done on real time object detection using a deep learning object detection algorithm i.e., YOLO. | computer-vision |
| 435 | 1483 | 2020-06-17 14:38:33 | Short Notes on Model-Based Offline Reinforcement Learning (MOReL) | Blog article on Model-Based Offline Reinforcement Learning (MOReL) paper by Rahul Kidambi & Aravind Rajeswaran et al. | other |
| 436 | 1491 | 2020-06-18 00:04:34 | Image GPT: Generative Pretraining from Pixels | Transformers trained on pixel sequences can generate coherent image completions and samples. | computer-vision |
| 437 | 1492 | 2020-06-18 00:06:53 | Q*BERT | Agents that build knowledge graphs and explore textual worlds by asking questions. | natural-language-processing |
| 438 | 1499 | 2020-06-18 13:41:39 | History of Language Models - Alec Radford | A quick history of language models | natural-language-processing |
| 439 | 1502 | 2020-06-18 19:45:49 | Generate Boolean (Yes/No) Questions From Any Content | Question generation algorithm trained on the BoolQ dataset using T5 text-to-text transformer model. | natural-language-processing |
| 440 | 1504 | 2020-06-19 06:19:25 | Fast Neural Style Transfer (feed-forward method) ⚡💻 + 🎨 = ❤️ | This repo contains a concise PyTorch implementation of the original feed-forward NST paper. | computer-vision |
| 441 | 1505 | 2020-06-19 06:22:56 | Diverse Image Generation via Self-Conditioned GANs | A simple but effective unsupervised method for generating realistic & diverse images using a class-conditional GAN model without using manually annotated class. | computer-vision |
| 442 | 1506 | 2020-06-19 06:26:17 | Using GitHub Actions for MLOps & Data Science | A collection of resources on how to facilitate Machine Learning Ops with GitHub. | mlops |
| 443 | 1519 | 2020-06-20 05:40:46 | Image and Bounding Box Annotation Slicer | This easy-to-use library slices (also resizes) images and its bounding box annotations into tiles of specific sizes or any arbitrary number of equal parts. ✂️ | computer-vision |
| 444 | 1525 | 2020-06-20 16:21:38 | Huggingtweets | This is a streamlit app built around the huggingtweets project. I fine-tune a pre-trained gpt2 model to tweet like a user given twitter handle. | natural-language-processing |
| 445 | 1528 | 2020-06-20 22:06:48 | The Future of Computer Vision is Self-Supervised Learning | Talk by Yann Lecun on the applications of self-supervised learning on computer vision during CVPR 2020. | computer-vision |
| 446 | 1529 | 2020-06-20 22:11:14 | Using Selective Attention in Reinforcement Learning Agents | In this work, we establish that self-attention can be viewed as a form of indirect encoding, which enables us to construct highly parameter-efficient agents. | other |
| 447 | 1539 | 2020-06-21 12:45:42 | A Visual Guide to FastText Word Embeddings | A deep-dive into how FastText enriches word vectors with sub-word information | natural-language-processing |
| 448 | 1542 | 2020-06-21 20:46:12 | Autocoder - Finetuning GPT-2 for Auto Code Completion | A basic and simple tool for code auto completion, built upon GPT-2 | natural-language-processing |
| 449 | 1546 | 2020-06-22 00:46:32 | DeepSNAP | Python library assists deep learning on graphs. | other |
| 450 | 1547 | 2020-06-22 00:50:30 | RoBERTa meets TPUs | Understanding and applying the RoBERTa model to the current challenge. | natural-language-processing |
| 451 | 1549 | 2020-06-22 01:00:45 | Deep Model-Based RL for Real-World Robotic Control | Short talk about model-based RL by Sergey Levine. | other |
| 452 | 1551 | 2020-06-22 03:17:48 | Pokemon Classifier | I want to build a classifier that can classify 150 types of Pokemon. | computer-vision |
| 453 | 1552 | 2020-06-22 03:45:01 | Workshop on Scalability in Autonomous Driving - Andrej Karpathy | An overview of autonomous driving and computer vision at Tesla. | computer-vision |
| 454 | 1560 | 2020-06-22 15:56:00 | Battle-Tested Techniques for Scoping Machine Learning Projects | One of the challenges of managing an ML project is project scoping. Even small changes in data or architecture can create huge differences in model outputs. | mlops |
| 455 | 1563 | 2020-06-22 16:04:10 | Classify photos in 600 classes using nine million Open Images | If you’re looking build an image classifier but need training data, look no further than Google Open Images. | computer-vision |
| 456 | 1569 | 2020-06-22 16:52:01 | Trackable | The project deals with tracking humans in a narrow hallway under different lighting conditions. | computer-vision |
| 457 | 1571 | 2020-06-23 02:04:12 | Stochastic Segmentation Networks | An efficient probabilistic method for modelling aleatoric uncertainty with any image segmentation network architecture. | computer-vision |
| 458 | 1575 | 2020-06-23 02:30:20 | Deep Learning for Computer Vision | Special topics class on deep learning for computer vision from the University of Michigan taught by Justin Johnson. | computer-vision |
| 459 | 1576 | 2020-06-23 02:37:15 | VPSNet for Video Panoptic Segmentation | Video panoptic segmentation by generating consistent panoptic segmentation as well as an association of instance ids across video frames. | computer-vision |
| 460 | 1580 | 2020-06-24 03:00:16 | What I Learned From Looking at 200 Machine Learning Tools | To better understand the landscape of available tools for machine learning production, I decided to look up every AI/ML tool I could find. | mlops |
| 461 | 1581 | 2020-06-24 03:04:31 | Discovering Symbolic Models from Deep Learning w/ Inductive Bias | A general approach to distill symbolic representations of a learned deep model by introducing strong inductive biases. | other |
| 462 | 1585 | 2020-06-24 03:18:20 | Breaking the cycle—Colleagues are all you need | A novel approach to performing image-to-image translation between unpaired domains. | computer-vision |
| 463 | 1587 | 2020-06-24 03:25:25 | Deep Learning Based Text Classification: A Comprehensive Review | An overview of deep learning approaches to text classification. | natural-language-processing |
| 464 | 1589 | 2020-06-24 03:33:09 | jiant | A software toolkit for research on general-purpose text understanding models. | natural-language-processing |
| 465 | 1592 | 2020-06-24 04:27:58 | Text Classification | Re-implemented an article (link is given below) which was on Text classification with CNN, beside this I tried out some ML classification algorithm. | natural-language-processing |
| 466 | 1595 | 2020-06-24 15:42:20 | multi-task-NLP | A utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks. | natural-language-processing |
| 467 | 1597 | 2020-06-25 00:17:39 | Maximizing Business Impact with Machine Learning | how to effectively leverage machine learning to build intelligent products as efficiently as possible. | mlops |
| 468 | 1598 | 2020-06-25 00:29:18 | Automatic Data Augmentation for Generalization in Deep RL | We compare three approaches for automatically finding an appropriate augmentation combined with two novel regularization terms for the policy and value function | other |
| 469 | 1599 | 2020-06-25 00:42:36 | High-Fidelity Generative Image Compression | How to combine Generative Adversarial Networks and learned compression to obtain a state-of-the-art generative lossy compression system. | computer-vision |
| 470 | 1602 | 2020-06-25 04:03:38 | Unet Model for Image Segmentation With EfficientNet Encoder | Implemented using tensorflow 2.2.0 with custom train and test step. | computer-vision |
| 471 | 1603 | 2020-06-25 10:40:56 | A Million of ML Predictions at the Tip of Your Fingers | Announcement - SashiDo is breaking the barrier to Machine Learning by introducing a fully open-sourced Content Moderation Service. | computer-vision |
| 472 | 1605 | 2020-06-26 02:19:39 | NetHack Learning Environment (NLE) | A procedurally-generated grid-world dungeon-crawl game that strikes a great balance between complexity and speed for single-agent RL research. | other |
| 473 | 1606 | 2020-06-26 02:24:53 | Paraphrase Generation Using T5 model | Simple application using T5 base model fine tuned in Quora Question Pairs to generate paraphrased questions. | natural-language-processing |
| 474 | 1607 | 2020-06-26 02:28:15 | Message Passing Query Embedding | MPQE is a model for answering complex queries over knowledge graphs, that learns embeddings of entities in the knowledge graph, & embeddings for variable types. | other |
| 475 | 1608 | 2020-06-26 02:31:17 | Quantifying Attention Flow in Transformers | I explain two simple but effective methods, called Attention Rollout and Attention Flow | natural-language-processing |
| 476 | 1614 | 2020-06-27 04:15:51 | Natural Language Processing Roadmap | Roadmap for learning NLP topics. | natural-language-processing |
| 477 | 1615 | 2020-06-27 04:29:04 | Weight Poisoning Attacks on Pre-trained Models | How Bert can be infused with nefarious behavior, even after fine-tuning. | natural-language-processing |
| 478 | 1616 | 2020-06-27 04:37:16 | Leveraging Temporal Context for Object Detection | Object detection architecture leveraging contextual clues across time for each camera deployment in a network, improving recognition of objects | computer-vision |
| 479 | 1617 | 2020-06-27 04:42:47 | Expressive Power of Graph Neural Networks | Graph isomorphism problem, the Weisfeiler-Lehman heuristic for graph isomorphism testing, and how it can be used to analyse the expressive power of GNNs. | other |
| 480 | 1620 | 2020-06-27 10:27:43 | rlx: A modular Deep RL library for research | "rlx" is a Deep RL library written on top of PyTorch & built for educational and research purpose. | other |
| 481 | 1622 | 2020-06-27 14:18:13 | Building AI Trading Systems | Lessons learned building a profitable algorithmic trading system using Reinforcement Learning techniques. | other |
| 482 | 1623 | 2020-06-27 14:20:49 | Introduction to NLP using Fastai | Implementing and decoding the revolutionary ULMFiT approach to train a language model on any downstream NLP task. | natural-language-processing |
| 483 | 1629 | 2020-06-28 07:37:00 | TF Lite Semantic Segmentation Models | Faster and lighter TF Lite models can perform semantic segmentation. | computer-vision |
| 484 | 1630 | 2020-06-28 07:40:40 | Semantic Segmentation + Background Removal + Style Transfer | Running multiple TF Lite models to perform semantic segmentation, remove background, and apply style transfer. | computer-vision |
| 485 | 1636 | 2020-06-29 00:00:47 | Automatic translation of the SQUAD dataset to spanish | Machine translation is used on the SQuAD dataset to produce an equivalent dataset in Spanish. Word alignment is applied to produce a synthetic spanisQA corpus. | natural-language-processing |
| 486 | 1638 | 2020-06-29 02:56:43 | Dakshina Dataset | A collection of text in both Latin and native scripts for 12 South Asian languages. | natural-language-processing |
| 487 | 1639 | 2020-06-29 02:58:52 | Computer Vision Recipes | This repository provides examples and best practice guidelines for building computer vision systems. | computer-vision |
| 488 | 1644 | 2020-06-29 12:42:44 | A research guide for data scientists | Tips on research from top data scientists | natural-language-processing |
| 489 | 1645 | 2020-06-29 17:16:17 | Using Data Science Pipelines for Disaster Response | Uses ETL and ML pipeline to build an NLP system for classification of messages into appropriate disaster categories | natural-language-processing |
| 490 | 1646 | 2020-06-29 19:47:58 | Twitter Turing Test | Can you guess whether this tweet is written by a human or generated by a neural network? | natural-language-processing |
| 491 | 1648 | 2020-06-30 02:34:54 | STUMPY: A Powerful and Scalable Python Library for Time Series | STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of time series data mining tasks. | other |
| 492 | 1649 | 2020-06-30 02:39:32 | Model Serving using FastAPI and streamlit | Simple example of usage of streamlit and FastAPI for ML model serving. | computer-vision |
| 493 | 1650 | 2020-06-30 02:49:57 | The Reformer - Pushing the Limits of Language Modeling | An in-depth understanding of each of the key features of the Reformer. | natural-language-processing |
| 494 | 1651 | 2020-06-30 02:52:41 | High-Resolution Image Inpainting | High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling. | computer-vision |
| 495 | 1653 | 2020-06-30 03:01:50 | MARGE: Pre-training via Paraphrasing | A retrieval model maps a document to a set of related documents, which a reconstruction model paraphrases to maximize the likelihood of the original. | natural-language-processing |
| 496 | 1657 | 2020-06-30 18:00:11 | Fast Api with Dockerization of your ML Models | In this GitHub repo you can able to know and learn how to build a fast API for testing your ML model and can test your ML model with UI and to Dockerize your ML | mlops |
| 497 | 1658 | 2020-07-01 02:22:10 | SimCLR - Contrastive Learning of Visual Representations | How to load pretrained/finetuned SimCLR models from hub modules for fine-tuning. | computer-vision |
| 498 | 1662 | 2020-07-01 07:00:50 | Image synthesis at CVPR 2020 | An overview of the different approaches to image synthesis at CVPR 2020. | computer-vision |
| 499 | 1663 | 2020-07-01 07:08:45 | Sktime | A python toolbox for machine learning with time series. | other |
| 500 | 1664 | 2020-07-01 07:14:00 | Sentiment Analysis: Key Milestones, Challenges and New Directions | An overview of sentiment analysis, it's progress and what's ahead. | natural-language-processing |
| 501 | 1666 | 2020-07-01 07:20:52 | Serverless BERT with HuggingFace and AWS Lambda | Build a serverless question-answering API with BERT, HuggingFace, the Serverless Framework, and AWS Lambda. | natural-language-processing |
| 502 | 1668 | 2020-07-01 13:33:49 | Model-based Reinforcement Learning: A Survey | A survey of the integration of both fields, better known as model-based reinforcement learning. | other |
| 503 | 1677 | 2020-07-02 04:06:19 | Building Level 3 Conversational AI Assistants | Presentations, panels, and fireside chats addressing all topics related to the creation of Level 3 AI assistants. | natural-language-processing |
| 504 | 1678 | 2020-07-02 12:13:19 | NSFW Image Classification REST API built with TensorFlow.JS | A ready-to-use & open-source NSFW Image Classification REST API built with TensorFlow.JS and NSFW.JS for effortless Content Moderation | computer-vision |
| 505 | 1688 | 2020-07-03 04:23:58 | Python Implementation of Reinforcement Learning: An Introduction | Plot replications, exercise solutions and Anki flashcards for the entire book by chapters. | other |
| 506 | 1691 | 2020-07-03 04:40:05 | The Simplest Way to Serve your NLP Model in Production w/ Python | From scikit-learn to Hugging Face Pipelines, learn the simplest way to deploy ML models using Ray Serve. | mlops |
| 507 | 1698 | 2020-07-04 01:07:48 | Learning to Cartoonize Using White-box Cartoon Representations | An approach for image cartoonization using GANs. | computer-vision |
| 508 | 1699 | 2020-07-04 01:10:18 | Reinforcement Learning Tutorial | Important reinforcement learning (RL) algorithms, including policy iteration, Q-Learning, and Neural Fitted Q. | other |
| 509 | 1702 | 2020-07-04 04:51:18 | Face Recognition Techniques | Face Detection and Recognition techniques using traditional CV and also using new deep learning method. | computer-vision |
| 510 | 1704 | 2020-07-04 10:42:53 | LSTM Forecast Model for Stock Price Prediction using Keras | Easy to understand LSTM forecast model for Stock Price Prediction. The dataset contains daywise details of the GOOGL stock from May,2019-May 2018. | other |
| 511 | 1706 | 2020-07-04 11:05:28 | PokeZoo | A deep learning based web-app developed using the MERN stack and Tensorflow.js. | computer-vision |
| 512 | 1710 | 2020-07-05 05:47:35 | NLP-task-visualizer-app | This application designed with streamlit library will help in visualizing NLP tasks on text entered by you. | natural-language-processing |
| 513 | 1721 | 2020-07-07 04:21:20 | TensorflowTTS | Real-Time State-of-the-art Speech Synthesis for Tensorflow 2. | natural-language-processing |
| 514 | 1722 | 2020-07-07 04:23:38 | spaczz: Fuzzy matching and more for spaCy | Fuzzy matching and more functionality for spaCy. | natural-language-processing |
| 515 | 1723 | 2020-07-07 04:26:45 | BioSyn | Biomedical Entity Representations with Synonym Marginalization | natural-language-processing |
| 516 | 1724 | 2020-07-08 04:02:50 | Image Classifier: In the Browser | Using Tensorflow.js to make the prediction directly in the browser. | computer-vision |
| 517 | 1726 | 2020-07-08 04:15:07 | Photon: A Robust Cross-Domain Text-to-SQL System | A robust, modular, cross-domain NLIDB that can flag natural language input to which a SQL mapping cannot be immediately determined. | natural-language-processing |
| 518 | 1728 | 2020-07-08 04:24:07 | Bounding Box Prediction from Scratch using PyTorch | Multi-Task learning — Bounding Box Regression + Image Classification | computer-vision |
| 519 | 1729 | 2020-07-08 04:28:13 | Comment Classification Using BERT (multi-language) Fine-Tuning | We are going to use BERT layer in a model applying Keras. | natural-language-processing |
| 520 | 1730 | 2020-07-08 04:30:28 | TextBrewer | a PyTorch-based model distillation toolkit for natural language processing. | natural-language-processing |
| 521 | 1737 | 2020-07-08 18:22:40 | codeBERT - Automated code docstring review with transformers | codeBERT provide a one command line to check if your code docstrings are up-to-date. | natural-language-processing |
| 522 | 1748 | 2020-07-09 02:23:25 | Continuous Machine Learning (CML) | CML helps to organize MLOps infrastructure on top of the traditional software engineering stack instead of creating separate AI platforms. | mlops |
| 523 | 1750 | 2020-07-09 10:30:30 | picTranslate: Seamless live Image Text translator | Given an image with text on it, this app can give you a new image with text modified into a different language. | computer-vision |
| 524 | 1753 | 2020-07-10 02:44:11 | TUDatasets | A collection of benchmark datasets for graph classification and regression. | other |
| 525 | 1754 | 2020-07-10 02:46:07 | Full Stack Deep Learning | Full Stack Deep Learning helps you bridge the gap from training machine learning models to deploying AI systems in the real world. | mlops |
| 526 | 1755 | 2020-07-10 02:51:24 | Easy OCR | Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai. | computer-vision |
| 527 | 1759 | 2020-07-10 18:54:54 | Emotion Recognition from Tom and Jerry videos | Developed an application that classifies the emotion depicted by Tom and Jerry in each frame into one of the following : happy, angry, sad or suprised. | computer-vision |
| 528 | 1767 | 2020-07-11 05:05:31 | Imagenette | Imagenette is a subset of 10 easily classified classes from Imagenet. | computer-vision |
| 529 | 1768 | 2020-07-11 05:08:02 | TextAugment | Improving Short Text Classification through Global Augmentation Methods | natural-language-processing |
| 530 | 1769 | 2020-07-11 05:10:10 | niacin | A Python library for replacing the missing variation in your text data. | natural-language-processing |
| 531 | 1771 | 2020-07-11 05:16:17 | Albumentations | Fast image augmentation library and easy to use wrapper around other libraries. | computer-vision |
| 532 | 1772 | 2020-07-11 05:19:05 | Augmentor | Image augmentation library in Python for machine learning. | computer-vision |
| 533 | 1777 | 2020-07-11 05:37:12 | tsfresh | Automatic extraction of relevant features from time series. | other |
| 534 | 1792 | 2020-07-11 06:28:58 | Anomaly Detection Toolkit (ADTK) | A Python toolkit for rule-based/unsupervised anomaly detection in time series | other |
| 535 | 1795 | 2020-07-11 06:37:35 | Chakin | Simple downloader for pre-trained word vectors. | natural-language-processing |
| 536 | 1796 | 2020-07-11 06:39:39 | Top2Vec | Top2Vec learns jointly embedded topic, document and word vectors. | natural-language-processing |
| 537 | 1797 | 2020-07-11 06:42:29 | Contextualized Topic Models | A python package to run contextualized topic modeling. | natural-language-processing |
| 538 | 1800 | 2020-07-11 06:51:58 | jellyfish | 🎐 a python library for doing approximate and phonetic matching of strings. | natural-language-processing |
| 539 | 1802 | 2020-07-11 06:57:28 | SentencePiece | Unsupervised text tokenizer for Neural Network-based text generation. | natural-language-processing |
| 540 | 1803 | 2020-07-11 06:59:08 | A Deep Dive into the Wonderful World of Preprocessing in NLP | A glimpse into the surprisingly deep and interesting world of preprocessing in NLP. | natural-language-processing |
| 541 | 1813 | 2020-07-11 07:45:01 | Pytest | The pytest framework makes it easy to write small tests, yet scales to support complex functional testing | mlops |
| 542 | 1817 | 2020-07-11 07:55:23 | Artifacts - Weights & Biases | Effortless pipeline tracking and production model management | mlops |
| 543 | 1818 | 2020-07-11 08:07:35 | DeepkitAI | The Open-Source Machine Learning Devtool and Training Suite. | mlops |
| 544 | 1819 | 2020-07-11 08:14:03 | Neptune.ai | The most lightweight experiment management tool that fits any workflow. | mlops |
| 545 | 1820 | 2020-07-11 08:17:17 | Rasa | An open source machine learning framework to automate text-and voice-based conversations. | natural-language-processing |
| 546 | 1831 | 2020-07-11 11:36:26 | TF Sprinkles | Fast and efficient sprinkles augmentation implemented in TensorFlow. | computer-vision |
| 547 | 1834 | 2020-07-11 17:19:43 | Laplacian Pyramid Reconstruction and Refinement for Semantic Seg. | Pytorch implementation of multi-resolution reconstruction architecture based on a Laplacian pyramid that uses skip connections. | computer-vision |
| 548 | 1836 | 2020-07-11 18:15:19 | Training a pets detector model with TFOD API (TF 2) | In this notebook, we will be training a custom object detection model using the latest TensorFlow Object Detection (TFOD) API which is based on TensorFlow 2.2. | computer-vision |
| 549 | 1840 | 2020-07-12 00:59:27 | TensorFlow 2 meets the Object Detection API | TF Object Detection API (OD API) officially supports TensorFlow 2! | computer-vision |
| 550 | 1843 | 2020-07-12 13:35:20 | Cortex | Build machine learning APIs. | mlops |
| 551 | 1844 | 2020-07-12 16:24:10 | Semi-Supervised Learning in Computer Vision | A comprehensive overview of recent semi-supervised learning methods in Computer Vision | computer-vision |
| 552 | 1845 | 2020-07-12 21:42:52 | Face Predicting Web App | Interactive Deep Learning Model that utilizes your computer webcam to predict your age and gender in seconds! | computer-vision |
| 553 | 1847 | 2020-07-13 03:46:32 | Driver Identification Based on Vehicle's telematics data | In this paper, we proposed a deep learning model, which can identify drivers from their driving behaviors based on vehicle telematics data. | computer-vision |
| 554 | 1848 | 2020-07-13 05:00:40 | Comprehensive analysis of important metrics in ML | In this work, the authors present a comprehensive analysis of important metrics in practical applications. | computer-vision |
| 555 | 1851 | 2020-07-13 15:21:13 | StreamAlert | A serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerts. | mlops |
| 556 | 1855 | 2020-07-14 03:17:25 | ULMFiT Airline Sentiment Analysis | Transfer Learning using pretrained ULMFiT model | natural-language-processing |
| 557 | 1856 | 2020-07-14 03:21:00 | DeepDream Video Style Transfer | DeepDream on Video | computer-vision |
| 558 | 1859 | 2020-07-14 04:01:18 | You Trained a Machine Learning Model, Now What? | Three often overlooked parts of this process occur after the model is actually built: model evaluation, deployment, and monitoring. | mlops |
| 559 | 1860 | 2020-07-14 09:53:19 | NSFW Image Moderation Automation Engine built with TensorFlow.JS | An open-source NSFW Image Classifier including an Automation Engine for fast deletion & moderation built with Node.js, TensorFlow, and Parse Server | computer-vision |
| 560 | 1865 | 2020-07-14 22:55:08 | PDFTableExtract | Build a parser to extract the table in PDF document with RetinaNet | computer-vision |
| 561 | 1867 | 2020-07-14 23:03:02 | YOLOv4 With TensorFlow | YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite. | computer-vision |
| 562 | 1868 | 2020-07-15 03:52:31 | Selfie2Anime with TFLite | An end-to-end tutorial with TensorFlow Lite for Selfie2Anime (U-GAT-IT). | computer-vision |
| 563 | 1869 | 2020-07-15 20:31:37 | Bridging PyTorch and TVM | Taking Hugging Face transformer BERT from PyTorch and running it on ApacheTVM for both inference (with reasonable timings) and training. | natural-language-processing |
| 564 | 1871 | 2020-07-16 03:58:21 | Summarize a webapge | A Flask application that extracts and summarizes webpage using Natural Language Processing. Powered by nlp-akash. | natural-language-processing |
| 565 | 1872 | 2020-07-16 04:19:37 | An Icon Classifier with TensorFlow Lite Model Maker | An Icon Classifier with TensorFlow Lite Model Maker | computer-vision |
| 566 | 1879 | 2020-07-16 17:40:33 | Cross-lingual Transfer Learning - Sebastian Ruder | An overview of approaches that transfer knowledge across languages and enable us to scale NLP models to more of the world's 7,000 languages. | natural-language-processing |
| 567 | 1880 | 2020-07-16 17:43:48 | AdapterHub: A Framework for Adapting Transformers | Huggingface Transformers + Adapters | natural-language-processing |
| 568 | 1882 | 2020-07-16 17:51:48 | Object Detection with RetinaNet | Implementing RetinaNet: Focal Loss for Dense Object Detection. | computer-vision |
| 569 | 1884 | 2020-07-17 01:41:33 | Deploying your ML Model with TorchServe | In this talk, Brad Heintz walks through how to use TorchServe to deploy trained models at scale without writing custom code. | mlops |
| 570 | 1886 | 2020-07-17 08:27:56 | Medical Zoo - 3D Multi-modal Medical Image Segmentation | My articles on deep learning in medical imaging | computer-vision |
| 571 | 1887 | 2020-07-17 16:48:13 | Computer Vision Pretrained Models | A collection of computer vision pre-trained models. | computer-vision |
| 572 | 1889 | 2020-07-17 17:20:20 | NLP Pretrained Models | A collection of Natural language processing pre-trained models. | natural-language-processing |
| 573 | 1896 | 2020-07-19 00:40:37 | Machine Learning Production Pipeline | Project Flow and Landscape | mlops |
| 574 | 1898 | 2020-07-19 00:47:53 | Tempering Expectations for GPT-3 and OpenAI’s API | A closer look at the "magic" behind GPT-3 and caveats to be aware of. | natural-language-processing |
| 575 | 1899 | 2020-07-19 03:59:41 | StyleGAN Encoder | Encodes real images into the latent space of a StyleGAN model. | computer-vision |
| 576 | 1900 | 2020-07-19 04:12:40 | WikiArt StyleGAN 2 Model | A conditional StyleGAN 2 model trained on images from WikiArt | computer-vision |
| 577 | 1902 | 2020-07-19 10:19:24 | Indian Paper Currency Prediction | The trained model takes an image (Indian Paper Currency) as an input and predict the class of image from 10, 20, 50, 100, 200, 500, 2000 denomination. | computer-vision |
| 578 | 1903 | 2020-07-19 11:31:25 | Neural Style Transfer (Gatys et al., PyTorch) | My implementation of the original neural style transfer paper by Gatys et al. (In PyTorch). | computer-vision |
| 579 | 1904 | 2020-07-19 12:44:53 | Implementation of Face Net in TensorFlow - 2.0 | This repository is a naive unofficial implementation of Face Net paper - 2015 .This implementation opts online mode of semi - hard triplet mining. | computer-vision |
| 580 | 1910 | 2020-07-19 15:44:21 | Azure Machine Learning Template | Azure Machine Learning template for MNIST classifier | mlops |
| 581 | 1913 | 2020-07-19 16:55:33 | Teachable Machine (Image Classifier) | A teachable image classifier that runs on any browser built using TensorFlow JS. | computer-vision |
| 582 | 1914 | 2020-07-19 16:59:37 | TensorFlow JS- Object Detection in Browser | A real-time object detection model in your browser using TensorFlow JS. | computer-vision |
| 583 | 1916 | 2020-07-20 00:01:38 | How to Stop Worrying About Compositionality | Review the tenets of compositionality, and to highlight how each theory has evolved to match particular theoretical positions about the nature of language. | natural-language-processing |
| 584 | 1918 | 2020-07-20 05:48:38 | Spacy-Go | spacy-go is Golang interface for accessing linguistic annotations provided by spaCy using Google's gRPC. This module only supports basic functionalities like lo | natural-language-processing |
| 585 | 1919 | 2020-07-20 05:53:12 | Dframcy | DframCy is a light-weight utility module to integrate Pandas Dataframe to spaCy's linguistic annotation and training tasks. | natural-language-processing |
| 586 | 1921 | 2020-07-20 14:04:48 | NSFW Image Moderation Admin App with ReactJS | A fully-functional NSFW Admin Application for simplified image classification & moderation built with Node.js, TensorFlow.js, and React | computer-vision |
| 587 | 1923 | 2020-07-20 18:59:04 | PyTorch Geometric Temporal | A Temporal Extension Library for PyTorch Geometric | other |
| 588 | 1924 | 2020-07-20 20:34:47 | Why is it Important to Monitor Machine Learning Models? | The importance of monitoring and how monitoring ML is different from application performance management (APM). | mlops |
| 589 | 1925 | 2020-07-20 20:54:00 | PyTorch Implementation of PaletteNet | PyTorch implementation of PaletteNet: Image Recolorization with Given Color Palette (Cho et al., 2017). | computer-vision |
| 590 | 1927 | 2020-07-20 21:21:12 | ECG arrhythmia classification using a convolutional neural net | This is an implementation of the paper on ECG arrhythmia classification https://arxiv.org/pdf/1804.06812.pdf. | computer-vision |
| 591 | 1929 | 2020-07-20 23:55:33 | Structured Self Attention | Implementation for the paper A Structured Self-Attentive Sentence Embedding (https://arxiv.org/abs/1703.03130 ). Model interpretability / explainability. | natural-language-processing |
| 592 | 1933 | 2020-07-21 01:42:42 | TurboTransformers | A fast and user-friendly runtime for transformer inference on CPU and GPU. | natural-language-processing |
| 593 | 1938 | 2020-07-21 11:50:53 | Rasa NLU Examples | Experimental components for Rasa NLU pipelines. | natural-language-processing |
| 594 | 1940 | 2020-07-21 19:01:54 | Change Detection using Siamese networks | The blog is a primer on Siamese Networks and how they're used for observing change in satellite images over time, or observing facial changes as people age | computer-vision |
| 595 | 1941 | 2020-07-21 19:13:05 | My Artificial Intelligence Bookmarks | A curated list of my reads, implementations, and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world. | natural-language-processing |
| 596 | 1943 | 2020-07-22 03:32:30 | Do we Need Deep Graph Neural Networks? | Does depth in graph neural network architectures bring any advantage? | other |
| 597 | 1945 | 2020-07-22 03:39:13 | Pandera | A flexible and expressive pandas data validation library. | mlops |
| 598 | 1952 | 2020-07-24 06:28:15 | TensorFlow Serving | A flexible, high-performance serving system for machine learning models, designed for production environments. | mlops |
| 599 | 1953 | 2020-07-24 06:30:44 | BentoML | BentoML is an open-source framework for high-performance ML model serving. | mlops |
| 600 | 1954 | 2020-07-24 06:43:59 | Azure ML | MLOps using Azure ML. | mlops |
| 601 | 1955 | 2020-07-24 06:47:29 | Shape and Viewpoint without Keypoints | Recover the 3D shape, pose and texture from a single image, trained on an image collection without any ground truth 3D shape, multi-view, camera viewpoints. | computer-vision |
| 602 | 1965 | 2020-07-25 02:58:40 | model-logger | Model-Logger is a Python library for storing model's profile and rapid inter model comparison. | mlops |
| 603 | 1968 | 2020-07-26 04:48:40 | Sentiment Analysis With Transformers | Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank. | natural-language-processing |
| 604 | 1971 | 2020-07-27 02:30:42 | Attention based YOLO: Object Detection | An easy to follow, YOLO implementation with keras lib. Used a attention based architecture to extract more fine grained information about object. | computer-vision |
| 605 | 1977 | 2020-07-27 14:14:10 | LabelDetection: simplifying the use and construction of deep dete | LabelDetection is a graphical tool that aims to facilitate all the steps required in the pipeline to construct and use a deep-learning base object detection mod | computer-vision |
| 606 | 1978 | 2020-07-27 14:34:12 | How to Set Up a Python Project For Automation and Collaboration | How to set up a Python repo with unit tests, code coverage, lint checking, type checking, Makefile wrapper, and automated build with GitHub Actions. | mlops |
| 607 | 1980 | 2020-07-27 14:51:03 | Understanding & Implementing SimCLR - an ELI5 guide | I explain the SimCLR and its contrastive loss function step by step, build image embeddings and then show how to use them to train image classifier on top. | computer-vision |
| 608 | 1983 | 2020-07-28 04:14:12 | CoreML Model Zoo | Collection of unified and converted pre-trained models. | computer-vision |
| 609 | 1984 | 2020-07-28 04:18:00 | How GPT3 Works - Visualizations and Animations | A compilation of my threads explaining GPT3. | natural-language-processing |
| 610 | 1985 | 2020-07-28 04:19:58 | Temporal Graph Networks | In this post, we describe Temporal Graph Network, a generic framework for deep learning on dynamic graphs. | other |
| 611 | 1986 | 2020-07-28 07:44:13 | Behavioral Testing of NLP models with CheckList | An overview of the “CheckList” framework for fine-grained evaluation of NLP models | natural-language-processing |
| 612 | 1992 | 2020-07-29 03:41:04 | Time series forecasting | A thorough introduction to time series forecasting using TensorFlow. | other |
| 613 | 1993 | 2020-07-29 04:47:55 | Real-time text detection with EAST in TFLite | Demonstrates the conversion process from the original EAST model to TFLite and how to use it on static images and also on real-time video feeds. | computer-vision |
| 614 | 1994 | 2020-07-29 04:51:30 | Understanding the Effectivity of Ensembles in Deep Learning | The report explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective by Stanislav Fort, Huiyi Hu, and Balaji Lakshminarayanan. | computer-vision |
| 615 | 1999 | 2020-07-30 03:57:32 | Small differences in BLEU are meaningless | Only big differences in metric scores are meaningful in MT. | natural-language-processing |
| 616 | 2002 | 2020-07-30 04:08:46 | Multi-target in Albumentations | Many images, many masks, bounding boxes, and key points. How to transform them in sync? | computer-vision |
| 617 | 2005 | 2020-07-30 11:19:02 | Social Distance Detection | If people are very close to each other, a red bounding box is displayed around them indicating that they are not maintaining social distance. | computer-vision |
| 618 | 2006 | 2020-07-30 11:30:56 | Deep Learning Techniques for NLP in Healthcare | A talk discussing the recent advancements of deep learning to facilitate the adaption of NLP in the healthcare domain. | natural-language-processing |
| 619 | 2008 | 2020-07-30 14:50:30 | Extension to block NSFW content using AI | NSFW Filter is an extension that blocks NSFW content from your browser. It uses a computer vision model to detect NSFW content and hides it from the user. | computer-vision |
| 620 | 2009 | 2020-07-30 14:55:57 | ATLASS: AutoML using Transfer and Semi-Supervised Learning | This repository includes the code, application, and notebooks for the work "AutoML using Transfer and Semi-Supervised Learning". The tools presented here can be | computer-vision |
| 621 | 2012 | 2020-07-30 15:04:28 | LabelStoma: stomata detection using YOLO | LabelStoma is a graphical image tool for automatically detecting stomata in images. | computer-vision |
| 622 | 2013 | 2020-07-30 15:07:54 | DeepClas4Bio | DeepClas4Bio is a project that aims to facilitate the interoperability of bioimaging tools with deep learning frameworks. | computer-vision |
| 623 | 2016 | 2020-07-31 15:30:38 | Meme Classifier Using TFlite and flutter | Meme classifier using fine tuned mobilenet. This app showcases how you can perform low latency realtime classification apps using TFlite | computer-vision |
| 624 | 2020 | 2020-08-01 12:14:26 | Text Summarization using TF-IDF Algorithm | This Article explains the TF-IDF algorithm and shows the implemtnation from scratch to summarize the text. | natural-language-processing |
| 625 | 2022 | 2020-08-01 14:41:37 | Simple Transformers | Transformers for Classification, NER, QA, Language Modeling, Language Generation, T5, Multi-Modal, and Conversational AI. | natural-language-processing |
| 626 | 2024 | 2020-08-01 14:49:31 | DeText: A Deep Neural Text Understanding Framework | DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks. | natural-language-processing |
| 627 | 2026 | 2020-08-01 15:04:37 | Efficient Serverless Deployment of PyTorch Models on Azure | A tutorial for serving models cost-effectively at scale using Azure Functions and ONNX Runtime. | mlops |
| 628 | 2027 | 2020-08-01 15:27:29 | Nearest Celebrity Face | Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours. The input face | computer-vision |
| 629 | 2030 | 2020-08-02 12:38:08 | A Few Favorite Recipes in Computer Vision & Deep Learning | This blog post enlists a few of my favorite recipes in deep learning in the context of computer vision (as of August 2020). | computer-vision |
| 630 | 2031 | 2020-08-02 14:46:10 | NeuralQA - API and Visual Interface for Extractive QA | A Usable Library for Question Answering on Large Datasets with BERT | natural-language-processing |
| 631 | 2032 | 2020-08-02 20:00:23 | Object tracking in 75 lines of code | Object tracking is straightforward conceptually. And if you have a good detector, simple methods can be pretty effective. | computer-vision |
| 632 | 2033 | 2020-08-03 03:49:22 | FARM: Framework for Adapting Representation Models | 🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. | natural-language-processing |
| 633 | 2035 | 2020-08-04 02:49:24 | Act - GitHub Actions locally | Run your GitHub Actions locally. | mlops |
| 634 | 2038 | 2020-08-04 03:53:36 | Curated papers & articles on DS & ML in production | Learn how organizations & business solved machine learning problems, including problem statement, research, methodology, and results. | mlops |
| 635 | 2039 | 2020-08-04 16:45:09 | Tensorflow2 Object Detection Tutorial | In this tutorial, we will be going step by step the complete training process of Tensorflow2 Object Detection. | computer-vision |
| 636 | 2042 | 2020-08-05 02:07:24 | ONNX T5 | Summarization, translation, Q&A, text generation and more at blazing speed using a T5 version implemented in ONNX. | natural-language-processing |
| 637 | 2043 | 2020-08-05 02:17:10 | DeLighT: Very Deep and Light-weight Transformers | Similar or better performance than transformer-based models with significantly fewer parameters | natural-language-processing |
| 638 | 2045 | 2020-08-05 06:40:32 | Evaluation Metrics For Information Retrieval | Learn about common metrics used to evaluate performance of information retrieval systems | natural-language-processing |
| 639 | 2047 | 2020-08-05 15:18:46 | Test-Time Data Augmentation | Tutorial on how to properly implement test-time image data augmentation in a production environment with limited computational resources. | mlops |
| 640 | 2048 | 2020-08-05 16:50:22 | SadedeGel: An extraction based Turkish news summarizer | "Sadede Gel" in Turkish, means "cut to the chase". | natural-language-processing |
| 641 | 2051 | 2020-08-05 20:13:51 | MobyDick word frequency | Getting the count of the words in Moby Dick story using both web scraping and NLP | natural-language-processing |
| 642 | 2053 | 2020-08-05 20:30:33 | Image Classification with Keras | Build a pipeline to train an image classifier in Keras and tune hyperparameters to optimize the performance of our classifier. | computer-vision |
| 643 | 2054 | 2020-08-05 20:34:09 | Dropout in PyTorch – An Example | An example of adding Dropout to a PyTorch model, and observe the effect dropout has on the model's performance by tracking our models in Weights & Biases. | computer-vision |
| 644 | 2057 | 2020-08-06 04:06:11 | Data Science Meets Devops: MLOps with Jupyter, Git, & Kubernetes | An end-to-end example of deploying a machine learning product using Jupyter, Papermill, Tekton, GitOps and Kubeflow. | mlops |
| 645 | 2061 | 2020-08-06 04:59:21 | Detectron 2 Demo from Facebook | This Project contains the process of getting started with Facebook FAIR's detectron2 project on windows 10 without any Nvidia GPU. | computer-vision |
| 646 | 2062 | 2020-08-06 12:38:55 | Predict Vehicle Speed From Dash Cam Video | A series of experiments attempting to predict vehicle speed from dash cam videos using optical flow and neural networks. | computer-vision |
| 647 | 2098 | 2020-08-06 23:15:45 | Digital Image Processing in Python | Play around with pixel values with Python programming language. | computer-vision |
| 648 | 2100 | 2020-08-07 04:24:28 | A 2020 guide to Semantic Segmentation | Concept of image segmentation, discuss the relevant use-cases, different neural network architectures involved in achieving the results, metrics and datasets. | computer-vision |
| 649 | 2106 | 2020-08-08 15:06:18 | Fast NST for Videos (+ person segmentation) 🎥 + ⚡💻 + 🎨 = ❤️ | Create NST videos and pick separate styles for the person in the video and for the background. | computer-vision |
| 650 | 2109 | 2020-08-09 07:24:57 | Live demo : State-of-the-art MCQ Generator from any content | Demo for state-of-the-art MCQ (Multiple Choice Questions) generator from any content built using T5 transformer, HuggingFace, and Sense2vec | natural-language-processing |
| 651 | 2111 | 2020-08-10 03:26:16 | InvoiceNet | Deep neural network to extract intelligent information from PDF invoice documents. | computer-vision |
| 652 | 2112 | 2020-08-10 03:41:31 | Search for visual datasets | By task, application, class, label or format. | computer-vision |
| 653 | 2113 | 2020-08-10 04:01:03 | GAN-BERT | Enhancing the BERT training with Semi-supervised Generative Adversarial Networks. | natural-language-processing |
| 654 | 2114 | 2020-08-10 04:03:51 | tsaug | A Python package for time series augmentation. | other |
| 655 | 2116 | 2020-08-10 04:15:38 | Machine Learning Pipelines for Kubeflow. | Kubeflow pipelines are reusable end-to-end ML workflows built using the Kubeflow Pipelines SDK. | mlops |
| 656 | 2117 | 2020-08-10 04:17:57 | Structuring Unit Tests in Python | Where to put tests, how to write fixtures and the awesomeness of test parametrization. | mlops |
| 657 | 2121 | 2020-08-10 21:59:41 | DeepR — Training TensorFlow Models for Production | DeepR is a Python library to build complex pipelines as easily as possible on top of Tensorflow. | mlops |
| 658 | 2124 | 2020-08-11 00:20:42 | Neural Architecture Search | A look at neural architecture search w.r.t search space, search algorithms and evolution strategies. | other |
| 659 | 2135 | 2020-08-13 01:52:06 | Temporal Convolutional Networks for Time-Series | We introduce several novels using TCN, including improving traffic prediction, sound event localization & detection, and probabilistic forecasting. | other |
| 660 | 2136 | 2020-08-13 02:05:11 | Machine Learning Deployment: Shadow Mode | “How do I test my new model in production?” One answer, and a method I often employ when initially deploying models, is shadow mode. | mlops |
| 661 | 2138 | 2020-08-13 18:12:46 | Extract Stock Sentiment from News Headlines | In this project, you will generate investing insight by applying sentiment analysis on financial news headlines from Finviz. | natural-language-processing |
| 662 | 2141 | 2020-08-14 03:15:38 | hloc - the hierarchical localization toolbox | Visual localization made easy. | computer-vision |
| 663 | 2147 | 2020-08-15 01:17:07 | Practical Tips and Tricks for Successful Transfer Learning | Training models to learn knowledge and skills from other related tasks that will transfer and boost performance on tasks of interest. | natural-language-processing |
| 664 | 2148 | 2020-08-15 01:22:01 | txtai: AI-powered search engine | AI-powered search engine. | natural-language-processing |
| 665 | 2151 | 2020-08-15 05:32:22 | Drowsiness Detection System using OpenCV and Flask in Python | This system provides an overview of a system that detects whether a person is drowsy while driving and if so, alerts him by using voice messages in real-time. | computer-vision |
| 666 | 2155 | 2020-08-15 14:49:16 | GPT-3, The model simply knows! | Brief Introduction about the gigantic GPT-3. a new leap in AI and Natural Language processing. | natural-language-processing |
| 667 | 2159 | 2020-08-16 01:02:18 | Solaris | CosmiQ Works Geospatial Machine Learning Analysis Toolkit. | computer-vision |
| 668 | 2163 | 2020-08-17 03:19:46 | Safe Space - Github Action | Github action that checks the toxicity level of comments and PR reviews to help make repos safe spaces. | natural-language-processing |
| 669 | 2164 | 2020-08-17 03:24:46 | Intro to Autoencoders | This tutorial introduces autoencoders with three examples: the basics, image denoising, and anomaly detection. | computer-vision |
| 670 | 2166 | 2020-08-17 05:19:41 | Pix2Pix | Tensorflow 2.0 Implementation of the paper Image-to-Image Translation using Conditional GANs by Philip Isola, Jun-Yan Zhu, Tinghui Zhou and Alexei A. Efros. | computer-vision |
| 671 | 2167 | 2020-08-17 06:27:31 | Insight | Project Insight is designed to create NLP as a service with code base for both front end GUI (streamlit) and backend server (FastAPI) the usage of transformers | natural-language-processing |
| 672 | 2168 | 2020-08-17 10:55:43 | Onceupon.space | NLP experiment in story-telling that creates illustrations (text to sketch) and content (text generation) | natural-language-processing |
| 673 | 2173 | 2020-08-18 04:16:33 | Fine-tuning with custom datasets | This tutorial will take you through several examples of using 🤗 Transformers models with your own datasets. | natural-language-processing |
| 674 | 2185 | 2020-08-18 23:12:27 | Language Interpretability Tool (LIT) | The Language Interpretability Tool (LIT) is a visual, interactive model-understanding tool for NLP models. | natural-language-processing |
| 675 | 2188 | 2020-08-19 15:16:46 | Great Expectations | Always know what to expect from your data. | mlops |
| 676 | 2193 | 2020-08-20 00:39:05 | Effective testing for machine learning systems | Why testing machine learning systems can be different, and discuss some strategies for writing effective tests for machine learning systems. | mlops |
| 677 | 2202 | 2020-08-22 03:55:27 | Graph Representation Learning Book | Introduction to graph representation learning, including methods for embedding graph data, graph neural networks, and deep generative models of graphs. | other |
| 678 | 2203 | 2020-08-22 05:58:20 | Image Similarity Search in PyTorch | Simple Convolutional Auto-encoder based image similarity search to find similar images to given image or features. Fully written in PyTorch. | computer-vision |
| 679 | 2204 | 2020-08-22 17:19:00 | Tensorflow Object Detection with Tensorflow 2 | Object Detection with Tensorflow 2 and the Tensorflow Object Detection API | computer-vision |
| 680 | 2207 | 2020-08-23 04:38:45 | Rules of Machine Learning: Best Practices for ML Engineering | A basic knowledge of machine learning get the benefit of best practices in machine learning from around Google. | mlops |
| 681 | 2214 | 2020-08-24 11:16:47 | vedaseg | vedaseg is an open source semantic segmentation toolbox based on PyTorch. | computer-vision |
| 682 | 2215 | 2020-08-24 11:52:10 | vedastr | vedastr is an open source scene text recognition toolbox based on PyTorch. | computer-vision |
| 683 | 2218 | 2020-08-25 13:57:49 | CascadeTabNet | An approach for end-to-end table detection and structure recognition from image-based documents | computer-vision |
| 684 | 2220 | 2020-08-25 16:13:31 | Table Detection, Information Extraction and Structuring using ML | Table Extraction (TE) is the task of detecting and decomposing table information in a document. | natural-language-processing |
| 685 | 2223 | 2020-08-26 04:21:37 | AxCell | Automatic Extraction of Results from Machine Learning Papers | computer-vision |
| 686 | 2226 | 2020-08-27 01:54:16 | Hyperparameter Optimization for 🤗 Transformers: A Guide | Basic grid search is not the most optimal, and in fact, the hyperparameters we choose can have a significant impact on our final model performance. | natural-language-processing |
| 687 | 2235 | 2020-08-27 16:03:12 | Shift-Ctrl-F: Semantic Search for the Browser | 🔎: Search the information available on a webpage using natural language instead of an exact string match. | natural-language-processing |
| 688 | 2238 | 2020-08-28 01:24:08 | Spinning Up in Deep RL (OpenAI) | An educational resource to help anyone learn deep reinforcement learning. | other |
| 689 | 2239 | 2020-08-28 07:07:39 | An Introduction to Adversarial Examples in Deep Learning | This report provides an intuitive introduction to adversarial examples, discusses a wide variety of different adversarial attacks and, most notably, provides ad | computer-vision |
| 690 | 2242 | 2020-08-29 08:10:21 | Deep dive into ROI layer in Object Detection Models | In this blog post we will implement in torch ROI Pool and ROI Align models from scratch. | computer-vision |
| 691 | 2245 | 2020-08-30 02:51:07 | On the Bottleneck of Graph Neural Networks and its Implications | The mechanism of propagating information between neighbors creates a bottleneck when every node aggregates messages from its neighbors. | other |
| 692 | 2247 | 2020-08-30 11:48:19 | Unsupervised Keyphrase Extraction | Learn about unsupervised algorithms for automatically extracting representative keyword and phrases from documents | natural-language-processing |
| 693 | 2251 | 2020-08-31 10:05:12 | Practical AI: Using NLP word embeddings to solve localization | Using NLP word vectors (word2vec, glove, etc) in a novel way to solve the problem of localization in edtech. | natural-language-processing |
| 694 | 2252 | 2020-08-31 23:40:26 | Explore then Execute | Adapting without Rewards via Factorized Meta-Reinforcement Learning | other |
| 695 | 2255 | 2020-09-01 04:49:38 | Tensorflow, Pytorch, Transformer, Fastai, etc. Tutorials | BERT Classification, Question Answering, Seq2Seq Machine Translation, Contextual Topic Modeling, Large Scale Multilabelclassification, etc | natural-language-processing |
| 696 | 2258 | 2020-09-02 09:05:08 | Graph Convolutions for dummies | An article explaining Graph Convolutional Networks as simply as possible. | other |
| 697 | 2259 | 2020-09-02 23:08:03 | ECCV 2020: Some Highlights | A sort of a snapshot of the conference by summarizing some papers (& listing some) that grabbed my attention. | computer-vision |
| 698 | 2260 | 2020-09-02 23:13:20 | CVPR 2020: A Snapshot | A snapshot of the conference by summarizing some papers (& listing some) that grabbed my attention. | computer-vision |
| 699 | 2263 | 2020-09-03 23:05:32 | TTT: Fine-tuning Transformers with TPUs or GPUs acceleration | TTT is short for a package for fine-tuning 🤗 Transformers with TPUs, written in Tensorflow2.0+. | natural-language-processing |
| 700 | 2264 | 2020-09-04 01:24:22 | MushroomRL | Python library for Reinforcement Learning. | other |
| 701 | 2267 | 2020-09-04 02:50:39 | What Is MLOps? | Machine learning operations, MLOps, are best practices for businesses to run AI successfully with help from an expanding software products and cloud services. | mlops |
| 702 | 2268 | 2020-09-05 01:06:07 | NLP Course | For You | This is an extension to the (ML for) Natural Language Processing course I teach at the Yandex School of Data Analysis (YSDA) since fall 2018. | natural-language-processing |
| 703 | 2269 | 2020-09-05 01:09:06 | Learning to Summarize with Human Feedback | Human feedback models outperform much larger supervised models and reference summaries on TL;DR | natural-language-processing |
| 704 | 2273 | 2020-09-05 18:22:44 | ONNX Transformers | Accelerated NLP pipelines for fast inference 🚀 on CPU. Built with 🤗 Transformers and ONNX runtime. | natural-language-processing |
| 705 | 2275 | 2020-09-06 07:26:21 | hugdatafast: huggingface/nlp + fastai | The elegant integration of huggingface/nlp and fastai2 and handy transforms using pure huggingface/nlp | natural-language-processing |
| 706 | 2280 | 2020-09-06 18:59:46 | Top 10 Deep Learning Breakthroughs — Deep Reinforcement Learning | The article unravels the journey behind reaching the point when Reinforcement Learning combined with Deep Learning defeated a Go player world champion. | other |
| 707 | 2283 | 2020-09-07 07:13:04 | Data analysis made easy: Text2Code for Jupyter notebook | A jupyter notebook extension for Text2Code for basic pandas and plotly commands | natural-language-processing |
| 708 | 2284 | 2020-09-07 10:42:32 | electra_pytorch: ELECTRA in PyTorch (fastai + huggingface) | Unofficial reimplementation of <ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators> | natural-language-processing |
| 709 | 2285 | 2020-09-07 13:36:55 | Images of radio boxes | I have collected about 15+k raw images of radio boxes across 500+ forms and hand-picked 200+ images that can be used to determine if a radio box is checked. | computer-vision |
| 710 | 2287 | 2020-09-07 20:56:51 | omega|ml - building and deploying ML models the easy way | Deploying ML is hard. It should not be. omega|ml makes it a breeze. | mlops |
| 711 | 2290 | 2020-09-09 00:16:32 | Fine-tune a non-English GPT-2 Model with Huggingface | In this tutorial, we are going to use the transformers library by Huggingface. We will use the new Trainer class and fine-tune out GPT-2 model. | natural-language-processing |
| 712 | 2294 | 2020-09-09 16:14:37 | Getting started with large-scale ETL jobs using Dask and AWS EMR | EMR is AWS’s distributed data platform, which we can interact with and submit jobs to from a JupyterLab notebook running on our local machine. | mlops |
| 713 | 2295 | 2020-09-09 16:36:45 | How to Create a Cartoonizer with TensorFlow Lite? | An end-to-end tutorial on how to convert to TensorFlow Lite (TFLite) model and deploy it to an Android app for cartoonizing an image captured by camera. | computer-vision |
| 714 | 2296 | 2020-09-10 01:15:57 | How to Test Machine Learning Code and Systems | 🚦 Minimal examples of testing machine learning for correct implementation, expected learned behaviour, and model performance. | mlops |
| 715 | 2298 | 2020-09-11 00:02:10 | torchCDE | Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation. | other |
| 716 | 2299 | 2020-09-11 00:07:11 | Latent graph neural networks: Manifold learning 2.0? | Parallels between recent works on latent graph learning and older techniques of manifold learning. | other |
| 717 | 2300 | 2020-09-11 00:11:14 | Real Python Recommendation Engine | A full stack data science project that performs document similarity on RealPython.com content. Content recommendations are implemented via a Chrome extension. | natural-language-processing |
| 718 | 2304 | 2020-09-11 17:54:04 | Graph Neural Networks | A descriptive guide for Graph Neural Networks. | other |
| 719 | 2317 | 2020-09-14 05:32:45 | End-to-end Object Detection in TensorFlow Lite | This project shows how to train a custom detection model with the TFOD API, optimize it with TFLite, and perform inference with the optimized model. | computer-vision |
| 720 | 2318 | 2020-09-14 11:55:33 | Jepto - Digital Marketing Analytics | KPI Prediction and Anomaly Detection of digital marketing data for both technical and non-technical marketers and business owners. | other |
| 721 | 2319 | 2020-09-14 19:21:33 | Cartoonizer with TensorFlow.js | An app to turn your photos into cartoon-styled images 🎨 within your browsers using White-box Cartoonization GAN. | computer-vision |
| 722 | 2325 | 2020-09-16 13:43:20 | Implementing Content-Based Image Retrieval with Siamese Networks | With content-based image retrieval, we refer to the task of finding images containing attributes which are not in the image metadata, but in its visual content. | computer-vision |
| 723 | 2326 | 2020-09-17 00:18:51 | NLP for Developers: Multilingual NLP | Rasa | In this video, Rasa Developer Advocate Rachael will talk about common approaches to handle language input in more than one language. | natural-language-processing |
| 724 | 2327 | 2020-09-17 15:36:45 | Paint with Machine Learning | This web app allows you to create a landscape painting in the style of Bob Ross using a deep learning model served using a Spell model server. | computer-vision |
| 725 | 2328 | 2020-09-17 16:04:29 | Distilling Knowledge in Neural Networks | This project demonstrates the compelling model optimization technique - knowledge distillation with code walkthroughs in TensorFlow. | computer-vision |
| 726 | 2332 | 2020-09-18 08:49:55 | Recurrent Neural Networks: building GRU cells VS LSTM cells | What are the advantages of RNN’s over transformers? When to use GRU’s over LSTM? What are the equations of GRU really mean? How to build a GRU cell in Pytorch? | natural-language-processing |
| 727 | 2341 | 2020-09-20 00:34:03 | PyTorch Forecasting | Time series forecasting with PyTorch. | other |
| 728 | 2342 | 2020-09-20 03:24:58 | Norfair | Lightweight Python library for adding real-time 2D object tracking to any detector. | computer-vision |
| 729 | 2344 | 2020-09-21 00:20:00 | Labelai | Labelai is an online tool designed to label images, useful for training AI models. | computer-vision |
| 730 | 2345 | 2020-09-21 00:26:02 | Remo | 🐰 Python lib for remo - the app for annotations and images management in Computer Vision. | computer-vision |
| 731 | 2348 | 2020-09-21 23:47:06 | Layered Neural Rendering for Retiming People in Video | Manipulating and editing the time in which different motions of individuals in the video occur. | computer-vision |
| 732 | 2351 | 2020-09-22 03:42:58 | Simple Transformers: Transformers Made Easy | Simple Transformers removes complexity and lets you get down to what matters – model training and experimenting with the Transformer model architectures. | natural-language-processing |
| 733 | 2353 | 2020-09-22 13:04:04 | TF Geometric | Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x. | other |
| 734 | 2356 | 2020-09-23 04:56:15 | Part 2: Deep Representations, a way towards neural style transfer | A top-down approach to conceiving neural style transfer | computer-vision |
| 735 | 2357 | 2020-09-23 10:27:15 | Sudoku Solver | Solving Sudoku by extracting the puzzle from photo using Computer Vision and OCR and solving it. | computer-vision |
| 736 | 2360 | 2020-09-23 13:56:29 | 3D Face: Fast, Accurate and Stable Reconstruction | This work extends the previous work 3DDFA, named 3DDFA_V2, titled Towards Fast, Accurate and Stable 3D Dense Face Alignment, accepted by ECCV 2020. | computer-vision |
| 737 | 2368 | 2020-09-25 07:47:27 | TableQA | AI tool for querying natural language on tabular data like csvs and other dataframes. | natural-language-processing |
| 738 | 2369 | 2020-09-25 15:44:08 | GP-GAN: Towards Realistic High-Resolution Image Blending | Blending composite images using a generative model and a Gaussian-Poisson equation with a Laplacian Pyramid | computer-vision |
| 739 | 2371 | 2020-09-25 18:10:13 | From Research to Production with Deep Semi-Supervised Learning | Semi-Supervised Learning (SSL) has blossomed in the deep learning research community — we share lessons learned over 15 months of taking SSL into production. | mlops |
| 740 | 2372 | 2020-09-25 18:39:59 | A spaced repetition app for keeping your reinforcement learning | We aim to keep your reinforcement learning knowledge fresh by periodically reminding you of concepts making you a master of RL knowledge!! | other |
| 741 | 2373 | 2020-09-25 22:41:22 | GraphNorm | A Principled Approach to Accelerating Graph Neural Network Training. | other |
| 742 | 2384 | 2020-09-27 08:42:46 | Intro to Facebook Prophet | Everything you need to know when starting out with Facebook’s time series forecasting tool | other |
| 743 | 2387 | 2020-09-27 14:22:51 | GitHub Actions for Machine Learning | This presentation discusses the use of GitHub Actions to automate certain steps of a toy ML project. | mlops |
| 744 | 2388 | 2020-09-27 22:09:32 | SemTorch | Different deep learning architectures definitions that can be applied to image segmentation. | computer-vision |
| 745 | 2389 | 2020-09-28 05:34:15 | bingoset - CLI tool to create image dataset. | CLI Toolkit to quickly create an image dataset using Bing Image Search API. | computer-vision |
| 746 | 2395 | 2020-09-28 22:51:23 | Python caching in GitHub Actions | How to speed up slow Python builds in GitHub Actions with effective caching. | mlops |
| 747 | 2396 | 2020-09-29 00:36:12 | EfficientDet meets Pytorch Lightning | Beginner friendly guide to object detection using EfficientDet. | computer-vision |
| 748 | 2397 | 2020-09-29 02:15:46 | Optimizing MobileDet for Mobile Deployments | Learn about the criticalities of effectively optimizing MobileDet object detectors for mobile deployments. | computer-vision |
| 749 | 2402 | 2020-09-30 22:11:07 | Adapting Text Augmentation to Industry Problems | In this post I will talk about the recent advances in exploiting language models for data generation and also show how, where we can implement them in Industry. | natural-language-processing |
| 750 | 2404 | 2020-09-30 22:22:07 | 12 Factors of Reproducible Machine Learning in Production | We took our experience to deduce 12 factors (as a nod to the 12 factor app) that build the backbone of successful ML in production. | mlops |
| 751 | 2410 | 2020-10-01 13:42:23 | Serving PyTorch models in production with the Amazon SageMaker | TorchServe is now natively supported in Amazon SageMaker as the default model server for PyTorch inference. | mlops |
| 752 | 2411 | 2020-10-01 14:55:12 | How to Make Sense of the Reinforcement Learning Agents? | What and Why I Log During Training and Debug? | other |
| 753 | 2412 | 2020-10-01 18:50:05 | Introduction to 3D Medical Imaging: Preprocessing & Augmentations | Learn how to apply 3D transformations for medical image preprocessing and augmentation, to setup your awesome deep learning pipeline. | computer-vision |
| 754 | 2415 | 2020-10-01 23:55:36 | Explainable ML Monitoring | The video covers an overview of some of the risks of AI, the need for explainable monitoring, and what exactly we mean when we talk about it. | mlops |
| 755 | 2417 | 2020-10-02 09:44:25 | Parallelizing Prophet Cross-Validation with Dask | Applied Example w/ Code | other |
| 756 | 2418 | 2020-10-02 10:16:17 | Top Research Papers from the ECML-PKDD 2020 Conference | ECML-PKDD -> selectionof the best reaesch papers | other |
| 757 | 2419 | 2020-10-02 15:37:27 | GANs in Computer Vision Free Ebook / Article-series | This free ebook/article-series follows the chronological order of 20 peer-reviewed highly-cited papers as they presented in a series of 6 articles. | computer-vision |
| 758 | 2422 | 2020-10-02 21:48:21 | Pattern-Exploiting Training (PET) | This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference" | natural-language-processing |
| 759 | 2423 | 2020-10-03 20:27:36 | Imaginaire | NVIDIA PyTorch GAN library with distributed and mixed precision support. | computer-vision |
| 760 | 2430 | 2020-10-05 10:09:28 | Transection: Transformers for English to Chinese Translation 基于t | Tutorials on how to fine-tune a BART based transformer for English to Chinese translation. | natural-language-processing |
| 761 | 2431 | 2020-10-05 12:36:02 | A Survey of the State of Explainable AI for NLP | Overview of the operations and explainability techniques currently available for generating explanations for NLP model predictions. | natural-language-processing |
| 762 | 2432 | 2020-10-05 13:09:58 | Topic Modeling with BERT | Leveraging 🤗 Transformers and a class-based TF-IDF to create dense clusters allowing for easily interpretable topics. | natural-language-processing |
| 763 | 2434 | 2020-10-06 02:13:01 | OpenMMLab Computer Vision | MMCV is a python library for CV research and supports many research projects such as object detection, segmentation, pose estimation, action classification. | computer-vision |
| 764 | 2436 | 2020-10-06 13:29:44 | Machine Learning Methods Explained (+ Examples) | Most common techniques used in data science projects; get to know them through easy-to-understand examples and put them into practice in your own ML projects! | other |
| 765 | 2437 | 2020-10-06 14:53:39 | Rasoee | A powerful web and mobile application that identifies food dishes from a given input image, and provides an ingredient list along with relevant recipes. | computer-vision |