35 KiB
35 KiB
1 | id | created_on | title | description | tag |
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2 | 19 | 2020-03-03 13:54:31 | Diffusion to Vector | Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX. | graph-learning |
3 | 26 | 2020-03-07 23:11:58 | Graph Wavelet Neural Network | A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019) | graph-learning |
4 | 44 | 2020-03-08 00:32:58 | Capsule Graph Neural Network | A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019). | graph-learning |
5 | 80 | 2020-03-20 05:59:32 | NeRF: Neural Radiance Fields | Representing scenes as neural radiance fields for view synthesis. | computer-vision |
6 | 84 | 2020-03-20 15:18:43 | Mention Classifier | Category prediction model This repo contains AllenNLP model for prediction of Named Entity categories by its mentions. | natural-language-processing |
7 | 107 | 2020-03-21 23:09:03 | Plant Fruit Classifier | Building a world-class image classifier model with a custom dataset. | computer-vision |
8 | 126 | 2020-03-25 15:05:27 | Unet Implementation is Keras with GPU | Vector Map generation from aerial imagery using deep learning GeoSpatial UNET | computer-vision |
9 | 130 | 2020-03-25 16:55:31 | Gymnast Pose Analysis | Pose modelling for gymnasts using open-pose and open-cv. | computer-vision |
10 | 131 | 2020-03-25 17:00:54 | EfficientDet: Scalable and Efficient Object Detection | Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch. | computer-vision |
11 | 136 | 2020-03-26 17:22:36 | Finetune: Scikit-learn Style Model Finetuning for NLP | Finetune is a library that allows users to leverage state-of-the-art pretrained NLP models for a wide variety of downstream tasks. | natural-language-processing |
12 | 141 | 2020-03-28 17:41:42 | First Order Motion Model for Image Animation | Generating a video sequence so that an object in a source image is animated according to the motion of a driving video. | computer-vision |
13 | 142 | 2020-03-28 17:49:20 | TorchIO: Medical Image Processing in Deep Learning and PyTorch | Tools for medical image processing in deep learning and PyTorch | computer-vision |
14 | 144 | 2020-03-29 18:23:06 | Finetuning Transformers with JAX + Haiku | Walking through a port of the RoBERTa pre-trained model to JAX + Haiku, then fine-tuning the model to solve a downstream task. | natural-language-processing |
15 | 218 | 2020-04-06 11:29:57 | Distributional RL using TensorFlow2 | 🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2. | reinforcement-learning |
16 | 220 | 2020-04-06 15:19:59 | Module 2: Convolutional Neural Networks - CS231n | In Lecture 5 we move from fully-connected neural networks to convolutional neural networks. | computer-vision |
17 | 249 | 2020-04-06 19:20:12 | makesense.ai | Free to use online tool for labelling photos. | computer-vision |
18 | 264 | 2020-04-06 21:33:32 | The Unreasonable Effectiveness of Recurrent Neural Networks | A close look at how RNNs are able to perform so well. | natural-language-processing |
19 | 268 | 2020-04-06 21:51:55 | A Gentle Introduction to Text Summarization in Machine Learning | Text summarization is the technique for generating a concise and precise summary of voluminous texts while focusing on the sections that convey useful info. | natural-language-processing |
20 | 285 | 2020-04-07 03:45:03 | A (Long) Peek into Reinforcement Learning | In this post, we are gonna briefly go over the field of Reinforcement Learning (RL), from fundamental concepts to classic algorithms. | reinforcement-learning |
21 | 305 | 2020-04-07 20:00:37 | Question Answering with a Fine-Tuned BERT | What does it mean for BERT to achieve “human-level performance on Question Answering”? | natural-language-processing |
22 | 314 | 2020-04-08 00:06:21 | The Autonomous Learning Library | A PyTorch library for building deep reinforcement learning agents. | reinforcement-learning |
23 | 317 | 2020-04-08 00:14:27 | COCO Annotator | ✏️ Web-based image segmentation tool for object detection, localization and key points. | computer-vision |
24 | 328 | 2020-04-08 14:29:22 | ProteinGCN: Protein model quality assessment using GCNs | Source code for the paper: ProteinGCN: Protein model quality assessment using Graph Convolutional Networks. | graph-learning |
25 | 344 | 2020-04-08 16:11:28 | Tokenizers | 💥Fast State-of-the-Art Tokenizers optimized for Research and Production. | natural-language-processing |
26 | 353 | 2020-04-08 17:08:41 | Keras OCR | A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model. | computer-vision |
27 | 384 | 2020-04-08 21:22:25 | Visualizing Memorization in RNNs | Inspecting gradient magnitudes in context can be a powerful tool to see when recurrent units use short-term or long-term contextual understanding. | natural-language-processing |
28 | 407 | 2020-04-08 23:00:02 | AllenNLP | An open-source NLP research library, built on PyTorch. | natural-language-processing |
29 | 410 | 2020-04-08 23:09:15 | Frameworks for Machine Learning Model Management | This blog post will follow up by comparing three different tools developed to support reproducible machine learning model development. | mlops |
30 | 414 | 2020-04-08 23:18:04 | TensorBoard.dev | Easily host, track, and share your ML experiments for free. | mlops |
31 | 415 | 2020-04-08 23:21:13 | BertViz | Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.) | natural-language-processing |
32 | 426 | 2020-04-09 16:37:10 | The Transformer Family | This post presents how the vanilla Transformer can be improved for longer-term attention span, less memory and computation consumption, RL task solving, etc. | natural-language-processing |
33 | 437 | 2020-04-10 17:14:11 | Pruning Bert to Accelerate Inference | After previously discussing various ways of accelerating models like BERT, in this blog post we empirically evaluate the pruning approach. | natural-language-processing |
34 | 438 | 2020-04-10 17:26:39 | Compressing Bert for Faster Prediction | In this blog post, we discuss ways to make huge models like BERT smaller and faster. | natural-language-processing |
35 | 451 | 2020-04-10 20:10:28 | Evaluation Metrics for Language Modeling | In this article, we will focus on traditional intrinsic metrics that are extremely useful during the process of training the language model itself. | natural-language-processing |
36 | 454 | 2020-04-10 20:27:12 | All The Ways You Can Compress BERT | In this post I’ll list and briefly taxonomize all the papers I’ve seen compressing BERT. | natural-language-processing |
37 | 458 | 2020-04-10 20:58:41 | Limitations of Deep Learning for Vision, and How We Might Fix The | This is an opinion paper about the strengths and weaknesses of Deep Nets for vision. | computer-vision |
38 | 487 | 2020-04-14 21:15:35 | Face Alignment in Full Pose Range: A 3D Total Solution | Face Alignment in Full Pose Range: A 3D Total Solution. | computer-vision |
39 | 488 | 2020-04-14 21:21:51 | V2V-PoseNet Pytorch | PyTorch implementation of V2V-PoseNet with IntegralPose/PoseFix loss. | computer-vision |
40 | 496 | 2020-04-14 23:14:59 | Fast- Neural Style | Pytorch implementation of an algorithm for artistic style transfer. | computer-vision |
41 | 497 | 2020-04-14 23:21:16 | Torchvision Object Detection Finetuning Tutorial | Finetuning a pre-trained Mask R-CNN model in the Penn-Fudan Database for Pedestrian Detection and Segmentation. | computer-vision |
42 | 559 | 2020-04-16 16:18:26 | Creating an End-to-End Machine Learning Application | A complete, end-to-end ML application, implemented in both TensorFlow 2.0 and PyTorch. | mlops |
43 | 561 | 2020-04-16 16:27:31 | How Docker Can Help You Become A More Effective Data Scientist | A look at Docker from the perspective of a data scientist. | mlops |
44 | 569 | 2020-04-18 13:32:36 | An Introduction to Transfer Learning and HuggingFace | In this talk I'll start by introducing the recent breakthroughs in NLP that resulted from the combination of Transfer Learning schemes and Transformer architect | natural-language-processing |
45 | 570 | 2020-04-19 17:40:48 | Introduction to Image Inpainting With Deep Learning | In this article, we are going to learn how to do “image inpainting”, i.e. fill in missing parts of images precisely using deep learning. | computer-vision |
46 | 579 | 2020-04-20 00:53:19 | Transfer Learning & Fine-Tuning With Keras | Your 100% up-to-date guide to transfer learning & fine-tuning with Keras. | computer-vision |
47 | 582 | 2020-04-20 21:38:50 | CS285: Deep Reinforcement Learning | A course on deep reinforcement learning, transfer and multi-task learning. | reinforcement-learning |
48 | 594 | 2020-04-21 23:25:53 | TorchServe & TorchElastic PyTorch Libraries for Serving/Training | The officially supported way to deploy and manage models with PyTorch. | mlops |
49 | 600 | 2020-04-22 17:37:25 | Building a Simple Chatbot from Scratch in Python (using NLTK) | A look at retrieval based and generative conversational AI for creating chatbots. | natural-language-processing |
50 | 612 | 2020-04-23 13:56:46 | Implementing DCGANs using PyTorch C++ API (Libtorch) | The blog discusses the paper review of DCGANs and implementation using PyTorch C++ API in detail. From loading models to visualizing batch of the data, in C++! | computer-vision |
51 | 620 | 2020-04-23 17:26:26 | ELECTRA | Explaining the new self-supervised task for language representation learning, ELECTRA which uses "replace token detection". | natural-language-processing |
52 | 624 | 2020-04-24 00:42:41 | How to Train a New Language Model From Scratch Using Transformers | In this post we’ll demo how to train a “small” model (84 M parameters = 6 layers, 768 hidden size, 12 attention heads). | natural-language-processing |
53 | 629 | 2020-04-24 05:01:26 | ARIMA Modeling - Guide to Time Series Forecasting in Python | How ARIMA models works . How to train and forecast using ARIMA, SARIMA, SARIMAX and find the optimal model with Python | time-series |
54 | 649 | 2020-04-28 03:42:29 | Spektral | Graph Neural Networks with Keras and Tensorflow 2. | graph-learning |
55 | 666 | 2020-04-29 12:10:43 | AIDeveloper | GUI-based software for training, evaluating and applying deep neural nets for image classification | computer-vision |
56 | 671 | 2020-04-29 23:22:43 | MedCAT - Medical Concept Annotation Tool | A tool used to extract information from Electronic Health Records (EHRs) and link it to biomedical ontologies like SNOMED-CT and UMLS. | natural-language-processing |
57 | 681 | 2020-05-01 16:25:34 | The AI Economist | Improving Equality and Productivity with AI-Driven Tax Policies | reinforcement-learning |
58 | 684 | 2020-05-01 16:48:19 | WT5?! Training Text-to-Text Models to Explain their Predictions | We leverage the text-to-text framework proposed by Raffel et al.(2019) to train language models to output a natural text explanation alongside their prediction. | natural-language-processing |
59 | 689 | 2020-05-01 17:51:53 | Ensemble Forecasts | Time series forecasting using classical methods (ETS, Holt-Winter's, SARIMA) and Prophet. I show and discuss advantages of Ensemble Forecast | time-series |
60 | 703 | 2020-05-04 05:09:59 | Implementing Graph Neural Networks with JAX | I’ll talk about my experience on how to build and train Graph Neural Networks (GNNs) with JAX. | graph-learning |
61 | 705 | 2020-05-04 14:13:13 | Deep Learning With Graph-Structured Representations | Novel approaches based on the theme of structuring the representations and computations of neural network-based models in the form of a graph. | graph-learning |
62 | 706 | 2020-05-04 14:18:58 | GNNExplainer: Generating Explanations for Graph Neural Networks | General tool for explaining predictions made by graph neural networks (GNNs). | graph-learning |
63 | 710 | 2020-05-05 04:01:24 | Differential Subspace Search in High-Dimensional Latent Space | Differential subspace search to allow efficient iterative user exploration in such a space, without relying on domain- or data-specific assumptions. | computer-vision |
64 | 723 | 2020-05-05 19:45:50 | DeepWay: Autonomous navigation for blind. | I have tried to make something which can be used by blind people to navigate around the streets. Have a look at the video and GitHub repo for details. | computer-vision |
65 | 737 | 2020-05-06 18:06:04 | Nature-Scene Classification using FASTAI | Classifying Nature-scene images using deep learning with fastai library | computer-vision |
66 | 738 | 2020-05-06 20:33:00 | Machine-Learning-Single-Layer-Multiclass-Perceptron | Implemented a Single Layer Perceptron and applied it on the MNIST dataset for multi-class classification using NumPy. | computer-vision |
67 | 780 | 2020-05-08 12:06:30 | Med7 - clinical natural language processing for EHR | Med7 is a transferable clinical natural language processing model for electronic health records, compatible with spaCy, for named-entity recognition task | natural-language-processing |
68 | 784 | 2020-05-08 14:59:08 | Haystack — Neural Question Answering At Scale | Scaling Question Answering models to find answers in large document stores via retriever and reader approach. | natural-language-processing |
69 | 785 | 2020-05-08 17:13:36 | SimCLR in TensorFlow 2 | (Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2. | computer-vision |
70 | 787 | 2020-05-08 18:15:56 | Semantic Cord19 Paper Explorer | Semantic research paper explorer to search Research Papers in COVID and CoronaVirus. Can be easily modified to any Research Paper Database | natural-language-processing |
71 | 807 | 2020-05-11 02:25:51 | Introduction to Machine Learning Problem Framing | This course helps you frame machine learning (ML) problems. | mlops |
72 | 834 | 2020-05-13 04:36:33 | TailorGAN: Making User-Defined Fashion Designs | Generate a photo-realistic image which combines the texture from reference A and the new attribute from reference B. | computer-vision |
73 | 843 | 2020-05-13 14:49:21 | T5 fine-tuning | A colab notebook to showcase how to fine-tune T5 model on various NLP tasks (especially non text-2-text tasks with text-2-text approach) | natural-language-processing |
74 | 854 | 2020-05-14 12:05:20 | ASAP: Pooling for Graph Neural Network (AAAI 2020) | ASAP is a sparse and differentiable pooling method that addresses the limitations of previous graph pooling layers. | graph-learning |
75 | 878 | 2020-05-16 05:27:56 | Exploratory Data Analysis on MS COCO Style Datasets | A Simple Toolkit to do exploratory data analysis on MS COCO style formatted datasets. | computer-vision |
76 | 898 | 2020-05-17 05:11:22 | Single-Stage Semantic Segmentation from Image Labels | We attain competitive results by training a single network model for segmentation in a self-supervised fashion using only image-level annotations | computer-vision |
77 | 906 | 2020-05-18 14:50:45 | NLPAug | Data augmentation for NLP | natural-language-processing |
78 | 916 | 2020-05-19 08:11:05 | Get Subreddit Suggestions for a Post | Trained on 4M Reddit posts from 4k Subreddits. End-to-end ML pipeline built with fasttext and FastAPI, deployed to Valohai. | natural-language-processing |
79 | 917 | 2020-05-19 13:45:03 | Transfer Learning In NLP | A brief history of Transfer Learning In NLP | natural-language-processing |
80 | 919 | 2020-05-20 02:29:48 | IntelliCode Compose: Code Generation Using Transformer | Code completion tool which is capable of predicting sequences of code tokens of arbitrary types, generating up to entire lines of syntactically correct code. | natural-language-processing |
81 | 943 | 2020-05-22 06:27:43 | Transfer Learning in NLP with Tensorflow Hub and Keras | Learn how to integrate and finetune tensorflow-hub modules in Tensorflow 2.0 | natural-language-processing |
82 | 946 | 2020-05-22 07:57:14 | Replicating Airbnb's Amenity Detection (documentary series) | Airbnb's engineering team shared an article on how they used computer vision to detection amenities in photos. It read like a recipe so I replicated it. | computer-vision |
83 | 965 | 2020-05-24 08:14:30 | GANs in Computer Vision : An article review series | An article series where we review the most important research papers on GANs from 2015 to today. 6 articles, 20 papers, 20000 words | computer-vision |
84 | 991 | 2020-05-27 05:09:20 | NLP Viewer 🤗 | A simple website for browsing popular NLP datasets. | natural-language-processing |
85 | 999 | 2020-05-28 03:32:05 | MediaPipe | Simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web. | computer-vision |
86 | 1011 | 2020-05-29 02:57:44 | ML in Production - Deployment Series | A multi-part blog series on deploying machine learning models in an automated, reproducible, and auditable manner. | mlops |
87 | 1019 | 2020-05-29 08:14:05 | Visual Object Tracking using Adaptive Correlation Filters | This article gives step by step tutorial with code on understanding MOSSE tracking algorithm | computer-vision |
88 | 1032 | 2020-05-29 14:50:28 | Pix2Pix with Tf-js | Implementation of web friendly ML models using TensorFlow.js. pix2pix, face segmentation, fast style transfer and many more ... | computer-vision |
89 | 1056 | 2020-05-30 09:08:31 | Font Recognition Using Deep Learning - DeepFont ( Adobe ) | DeepFont Paper is a technique created by Adobe.Inc to detect font from images using deep learning . They published their work as a paper for the public . | computer-vision |
90 | 1078 | 2020-05-31 05:04:44 | Building Footprint Extraction | The project retrieves satellite imagery from Google and performs building footprint extraction using a U-Net. | computer-vision |
91 | 1114 | 2020-06-01 21:00:24 | Reinforcement Learning in JAX | Implementation of interesting Deep Reinforcement Learning Algorithms using JAX based libraries (flax, haiku and rlax) As of now tasks come from OpenAI gym | reinforcement-learning |
92 | 1155 | 2020-06-03 15:22:11 | GaborNet | Modified network architecture that focuses on improving convergence and reducing training complexity. | computer-vision |
93 | 1159 | 2020-06-03 18:17:01 | Learning To Classify Images Without Labels | A two-step approach where feature learning and clustering are decoupled. | computer-vision |
94 | 1167 | 2020-06-04 03:58:21 | From Pre-trained Word Embeddings to Pre-trained Language Models | from Static Word Embedding to Dynamic (Contextualized) Word Embedding. | natural-language-processing |
95 | 1172 | 2020-06-04 07:01:13 | Converting images to TF Records | A Colab Notebook showing how to convert an image dataset (for classification) to TF Records and more. | computer-vision |
96 | 1266 | 2020-06-09 16:09:08 | Text Classification using Bert from Tensorflow-Hub | This Tutorial helps to learn about Bert Models for Classification task on a #Tweet dataset. | natural-language-processing |
97 | 1286 | 2020-06-10 17:24:19 | Exploring Knowledge Captured in Probability of Strings | An exploration of simple knowledge captured by language models with code examples | natural-language-processing |
98 | 1363 | 2020-06-13 13:46:44 | Short Notes on Batch Constrained Deep Reinforcement Learning | Blog article on Off-Policy Deep Reinforcement Learning without Exploration paper by Fujimoto et al. (ICML 2019) | reinforcement-learning |
99 | 1426 | 2020-06-15 02:34:27 | From GRU to Transformer | How recurrent units and self-attention are related to each other. | natural-language-processing |
100 | 1430 | 2020-06-15 04:24:12 | Melanoma Classification | This was Shubhamai 3-week project for working a new kaggle competition and deploying a web application to predicting benign or malignant based on images. | computer-vision |
101 | 1434 | 2020-06-15 07:52:13 | Universal Sentence Encoder Visually Explained | A deep-dive into how Universal Sentence Encoder learns to generate fixed-length sentence embeddings | natural-language-processing |
102 | 1445 | 2020-06-15 17:49:16 | Image Smoothing via L0 Gradient Minimization | This is a edge-aware image smoothing algorithm. This algorithm tries to smoothen the image while preserving the global structural information of the image. | computer-vision |
103 | 1450 | 2020-06-15 21:00:47 | BERT NLP — How To Build a Question Answering Bot | Understanding the intuition with hands-on PyTorch code for BERT fine-tuned on SQuAD. | natural-language-processing |
104 | 1451 | 2020-06-16 01:21:09 | EfficientDet (PyTorch) | A PyTorch implementation of EfficientDet faithful to the original Google implementation with ported weights. | computer-vision |
105 | 1459 | 2020-06-16 03:06:10 | SuperGlue: Learning Feature Matching with Graph Neural Networks | SuperGlue, a neural network that matches two sets of local features by jointly finding correspondences and rejecting non-matchable points. | graph-learning |
106 | 1462 | 2020-06-16 03:28:40 | Open Compound Domain Adaptation | Pytorch implementation for "Open Compound Domain Adaptation" | computer-vision |
107 | 1485 | 2020-06-17 16:33:50 | Sudoku-Game-Solver | This is a Computer Vision Application that solves a 9x9 sudoku board game using Deep Learning and Backtracking algorithm. | computer-vision |
108 | 1488 | 2020-06-17 19:27:36 | Smart Picture Editor | Tool to automatically remove unwanted objects from photos | computer-vision |
109 | 1494 | 2020-06-18 00:14:40 | Object Goal Navigation using Goal-oriented Semantic Exploration | Embodied interactive learning for object detection by using semantic curiosity to learn an exploration policy on set of the training environments. | computer-vision |
110 | 1501 | 2020-06-18 18:17:18 | Traffic-Sign-Recognition-Using-Deep-Learning | The training dataset contains around 39,000 images while test dataset contains around 12,000 images containing 43 different classes. We will be using Convolutio | computer-vision |
111 | 1508 | 2020-06-19 06:43:47 | Long Form Question Answering with ELI5 | A model for open domain long form question answering. | natural-language-processing |
112 | 1511 | 2020-06-19 06:54:23 | RepNet - Class Agnostic Video Repetition Counting in the Wild | Counting Out Time: Class Agnostic Video Repetition Counting in the Wild | computer-vision |
113 | 1515 | 2020-06-19 16:37:10 | Cut, Paste and Learn: Surprisingly Easy Synthesis for Detection | Generate synthetic scenes and bounding box annotations for object detection. | computer-vision |
114 | 1524 | 2020-06-20 10:42:25 | Machine Learning Projects | This Repo contains projects done by me while learning the basics. All the familiar types of regression, classification, and clustering methods have been used. | natural-language-processing |
115 | 1540 | 2020-06-21 13:03:19 | codeBERT - Masked Language Model for source code | Tutorial to use codeBERT a MLM for Python code. Model trained from scratch using roBERTa | natural-language-processing |
116 | 1588 | 2020-06-24 03:29:51 | Multi-task Training with Hugging Face Transformers and NLP | A recipe for multi-task training with Transformers' Trainer and NLP datasets. | natural-language-processing |
117 | 1600 | 2020-06-25 00:45:26 | BERT Distillation with Catalyst | How to distill BERT with Catalyst. | natural-language-processing |
118 | 1628 | 2020-06-28 06:12:20 | Deep Reinforcement Learning Amidst Lifelong Non-Stationarity | How can robots learn in changing, open-world environments? We introduce dynamic-parameter MDPs, to capture environments with persistent, unobserved changes. | reinforcement-learning |
119 | 1654 | 2020-06-30 03:58:46 | 3D Detection and Domain Adaptation | 1st Place Solution for Waymo Open Dataset Challenge | computer-vision |
120 | 1659 | 2020-07-01 02:26:20 | Evaluation of Text Generation: A Survey | Evaluation methods of natural language generation (NLG) and language modeling. | natural-language-processing |
121 | 1661 | 2020-07-01 06:42:59 | SpineNet: A Novel Architecture for Object Detection | A meta architecture called a scale-permuted model that enables two major improvements on backbone architecture design,iscovered with neural architecture search. | computer-vision |
122 | 1665 | 2020-07-01 07:17:48 | BERTology Meets Biology | Interpreting Attention in Protein Language Models. | natural-language-processing |
123 | 1681 | 2020-07-03 04:02:52 | A Survey on Deep Learning for Localization and Mapping | Towards the Age of Spatial Machine Intelligence | computer-vision |
124 | 1685 | 2020-07-03 04:12:28 | Text Data Cleanup - Dynamic Embedding Visualisation | Identify noisy text in a Machine Translation dataset through dynamic text embedding visualisation. | natural-language-processing |
125 | 1689 | 2020-07-03 04:29:04 | Offline Reinforcement Learning | Challenges, algorithms and benchmarks. | reinforcement-learning |
126 | 1692 | 2020-07-03 04:42:45 | Low-Dimensional Hyperbolic Knowledge Graph Embeddings | Low-dimensional knowledge graph embeddings that simultaneously capture hierarchical relations and logical patterns. | graph-learning |
127 | 1703 | 2020-07-04 09:22:50 | Awesome Deep RL | This project is built for people who are learning and researching on the latest deep reinforcement learning methods. | reinforcement-learning |
128 | 1709 | 2020-07-05 05:25:34 | Anti-Patterns in NLP (8 types of NLP idiots) | A talk which discusses the recurring industrial problems in making NLP solutions. | natural-language-processing |
129 | 1715 | 2020-07-06 18:25:16 | Image Classifier | Pure JavaScript Image Classifier | computer-vision |
130 | 1717 | 2020-07-07 04:09:35 | TaBERT | Pretraining for Joint Understanding of Textual and Tabular Data | natural-language-processing |
131 | 1719 | 2020-07-07 04:17:11 | Texthero | Text preprocessing, representation and visualization from zero to hero. | natural-language-processing |
132 | 1743 | 2020-07-09 01:51:41 | How to Benchmark Models with Transformers | HuggingFace's Transformer library allows users to benchmark models for both TensorFlow 2 and PyTorch using the PyTorchBenchmark and TensorFlowBenchmark classes. | natural-language-processing |
133 | 1756 | 2020-07-10 02:53:13 | Linear Attention Transformer | A fully featured Transformer that mixes (QKᵀ)V local attention with Q(KᵀV) global attention (scales linearly with respect to sequence length). | natural-language-processing |
134 | 1770 | 2020-07-11 05:12:49 | imgaug | Image augmentation for machine learning experiments. | computer-vision |
135 | 1779 | 2020-07-11 05:48:03 | All Models and checkpoints - Hugging Face | Massive (and growing) collection of NLP models are nearly any NLP tasks, especially those involving the use of transformers. | natural-language-processing |
136 | 1799 | 2020-07-11 06:49:38 | FlashText | Extract Keywords from sentence or Replace keywords in sentences. | natural-language-processing |
137 | 1804 | 2020-07-11 07:04:25 | Text Preprocessing in Python using spaCy library | In this article, we have explored Text Preprocessing in Python using spaCy library in detail. This is the fundamental step to prepare data for applications. | natural-language-processing |
138 | 1805 | 2020-07-11 07:12:32 | Segmentation Models | Segmentation models with pretrained backbones. Keras and TensorFlow Keras. | computer-vision |
139 | 1825 | 2020-07-11 08:43:20 | MLflow: A Machine Learning Lifecycle Platform | Open source platform for the machine learning lifecycle. | mlops |
140 | 1827 | 2020-07-11 08:56:02 | token2index | A lightweight but powerful library to build token indices for NLP tasks, compatible with major Deep Learning frameworks like PyTorch and Tensorflow. | natural-language-processing |
141 | 1853 | 2020-07-13 20:23:32 | The Transformer Neural Network Architecture Explained | ⚙️ It is time to explain how Transformers work. If you are looking for an easy explanation, you are exactly right! | natural-language-processing |
142 | 1858 | 2020-07-14 03:30:14 | QSVM | Quantum SVM for sentiment analysis | natural-language-processing |
143 | 1866 | 2020-07-14 22:58:15 | PYthon Automated Term Extraction | Term extraction algorithms such as C-Value, Basic, Combo Basic, Weirdness and Term Extractor using spaCy POS tagging. | natural-language-processing |
144 | 1870 | 2020-07-15 20:38:36 | Interpretability and Analysis of Models for NLP | An in-depth look at interpretability and analysis of models for NLP (ACL 2020). | natural-language-processing |
145 | 1888 | 2020-07-17 16:53:37 | Monitoring Machine Learning Models in Production | Once you have deployed your machine learning model to production it rapidly becomes apparent that the work is not over. | mlops |
146 | 1901 | 2020-07-19 08:31:43 | Quora Question Pair Similarity | Identify which questions asked on Quora are duplicates of questions that have already been asked. Using Text features, classifying them as duplicates or not. | natural-language-processing |
147 | 1905 | 2020-07-19 14:51:57 | PyTorch CNN Trainer | A simple package to fine-tune CNNs from torchvision and Pytorch Image models by Ross Wightman. | computer-vision |
148 | 1934 | 2020-07-21 01:47:01 | Graphein | Protein Graph Library | graph-learning |
149 | 1935 | 2020-07-21 04:44:52 | Integrated Gradients in TensorFlow 2 | In this tutorial, you will walk through an implementation of IG step-by-step in TensorFlow 2 to understand the pixel feature importances of an image classifier. | computer-vision |
150 | 1950 | 2020-07-23 00:42:09 | GPT-3: A Hitchhiker's Guide | Post to guide your thinking on GPT-3. | natural-language-processing |
151 | 1959 | 2020-07-24 10:00:13 | TeachEasy: Web app for Text Summarization & Q/A generation | An intuitive Streamlit based web app for Text Summarization and Question Answer generation so as to reduce the work for School teachers. | natural-language-processing |
152 | 1961 | 2020-07-24 10:38:52 | Python Template for All Projects | A template that gives the batteries required to package code, CI checks, auto build and deploy docs, easy PyPi publishing support and docker files. | mlops |
153 | 1964 | 2020-07-25 02:52:36 | MLOps Tutorial Series | How to create an automatic model training & testing setup using GitHub Actions and Continuous Machine Learning (CML). | mlops |
154 | 1972 | 2020-07-27 02:54:19 | Evolution of Representations in the Transformer | The evolution of representations of individual tokens in Transformers trained with different training objectives (MT, LM, MLM - BERT-style). | natural-language-processing |
155 | 1975 | 2020-07-27 14:09:26 | Ensemble methods for object detection | In this repository, we provide the code for ensembling the output of object detection models, and applying test-time augmentation for object detection. This lib | computer-vision |
156 | 1976 | 2020-07-27 14:12:03 | Close-Domain fine-tuning for table detection | In this project, we show the benefits of using models trained on a close domain, using the TableBank dataset, for fine-tuning table detection models. In additio | computer-vision |
157 | 1997 | 2020-07-29 16:13:46 | Image Classification by @carrycooldude | Image Classification using TFLite and ImageNet by @carrycooldude | computer-vision |
158 | 2007 | 2020-07-30 14:47:39 | CLoDSA: A Tool for Augmentation in Computer Vision tasks | CLoDSA is an open-source image augmentation library for object classification, localization, detection, semantic segmentation and instance segmentation. It supp | computer-vision |
159 | 2010 | 2020-07-30 15:00:43 | FrImCla: A framework for image classification | FrImCla is an open-source framework for Image Classification using traditional and deep learning techniques. It supports a wide variety of deep learning and c | computer-vision |
160 | 2011 | 2020-07-30 15:02:04 | UFOD: A Unified Framework for Object Detection | UFOD is an open-source framework that enables the training and comparison of object detection models on custom datasets using different underlying frameworks an | computer-vision |
161 | 2023 | 2020-08-01 14:46:19 | Why You Should Do NLP Beyond English | 7000+ languages are spoken around the world but NLP research has mostly focused on English. This post outlines why you should work on languages other than Eng. | natural-language-processing |
162 | 2025 | 2020-08-01 14:57:11 | Haystack — Neural Question Answering At Scale | 🔍 Transformers at scale for question answering & search | natural-language-processing |
163 | 2034 | 2020-08-03 04:00:29 | Finding Similar Documents with Transformers | How transformers can help us distill text documents into points in N-dimensional vector spaces. | natural-language-processing |
164 | 2040 | 2020-08-04 18:00:56 | A Barebones Image Retrieval System | This project presents a simple framework to retrieve images similar to a query image. | computer-vision |
165 | 2056 | 2020-08-06 00:30:49 | Fast Sentence Embeddings (fse) | Fast Sentence Embeddings is a Python library that serves as an addition to Gensim. | natural-language-processing |
166 | 2131 | 2020-08-13 01:39:01 | How to Trust Your Deep Learning Code | We will focus on how to write reusable unit tests, so that you “Don’t repeat yourself”. | mlops |
167 | 2137 | 2020-08-13 02:10:03 | Unpopular Opinion - Data Scientists Should Be More End-to-End | I believe data scientists can be more effective by being end-to-end. | mlops |
168 | 2172 | 2020-08-18 04:12:18 | Compression of Deep Learning Models for Text: A Survey | In this survey, we discuss six different types of methods for compression of such models to enable their deployment in real industry NLP projects. | natural-language-processing |
169 | 2186 | 2020-08-18 23:24:41 | AI in Medicine and Imaging - Stanford Symposium 2020 | Through the AIMI Symposium we hope to address gaps and barriers in the field and catalyze more evidence-based solutions to improve health for all. | computer-vision |
170 | 2195 | 2020-08-20 20:45:52 | Streamlit Terran Timeline | A face-recognition timeline generator tool for any kind of video! | computer-vision |
171 | 2199 | 2020-08-21 08:37:20 | How to Set Up Continuous Integration for Machine Learning | How to Set Up Continuous Integration for Machine Learning with Github Actions and Neptune: Step by Step Guide. | mlops |
172 | 2200 | 2020-08-21 12:45:54 | Bad passwords and the NIST guidelines | Example project provided by DataCamp. In this project, you will write code that automatically detects and flags the bad passwords. | natural-language-processing |
173 | 2232 | 2020-08-27 11:00:34 | GenRL | GenRL is a PyTorch-First Reinforcement Learning library centered around reproducible and generalizable algorithm implementations. | reinforcement-learning |
174 | 2246 | 2020-08-30 06:05:21 | Questgen- An NLP library for state-of-the-art Question Generation | Questgen AI is an opensource, easy to use NLP library for Question generation. It can generate MCQs, Boolean (Yes/No), FAQs and also paraphrase any question. | natural-language-processing |
175 | 2250 | 2020-08-31 09:20:55 | Text Data Augmentation with MarianMT | Learn how to use machine translation models in Hugging Face Transformers for data augmentation. | natural-language-processing |
176 | 2262 | 2020-09-03 12:10:24 | R.U.Stoked | NLP (Sentiment Analysis) project to demonstrate a pipeline of data from the very first stage of data collection through ML model deployment. | natural-language-processing |
177 | 2266 | 2020-09-04 01:42:26 | Wav2Lip: Accurately Lip-syncing Videos In The Wild | A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild | computer-vision |
178 | 2271 | 2020-09-05 07:10:06 | Latest advancements in video streaming with AI | AI developments in video streaming using Super-resolution, Per-title encoding, P2P | computer-vision |
179 | 2289 | 2020-09-08 04:12:41 | ElasticTransformers | Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers. | natural-language-processing |
180 | 2310 | 2020-09-12 12:33:20 | Image Super-Resolution | In this project we learn how to train a super-resolution model ESPCN on DIV2K dataset to upscale images using AI by 3x | computer-vision |
181 | 2312 | 2020-09-12 22:33:56 | Codequestion | Ask coding questions directly from the terminal. | natural-language-processing |
182 | 2336 | 2020-09-19 08:40:37 | G-SimCLR | TensorFlow implementation of G-SimCLR. | computer-vision |
183 | 2339 | 2020-09-19 11:17:48 | Neural CDEs for Long Time-Series via the Log-ODE Method | NCDEs for Long Time-Series via the Log-ODE Method. | time-series |
184 | 2350 | 2020-09-22 03:07:29 | Part 1: Deep Representations, a way towards neural style transfer | A top down approach to conceiving neural style transfer | computer-vision |
185 | 2366 | 2020-09-25 02:26:00 | Help-Me-Read: Text Summarization using Flask and HuggingFace. | Text summarization, translation and Questions Answers generation using HuggingFace and deployed using Flask, Streamlit. Detailed guide on github. | natural-language-processing |
186 | 2367 | 2020-09-25 07:39:43 | Interactive Analysis of Sentence Embeddings | Learn how to interactively explore sentence embedding and labels in Tensorflow Embedding Projector. | natural-language-processing |
187 | 2390 | 2020-09-28 05:46:03 | mini-pokedex end to end tutorial - Gotta classify 'em all! | Build a Pokemon image classifier to classify the awesome starters Pikachu, Charmander, Squirtle, and Bulbasaur. | computer-vision |
188 | 2394 | 2020-09-28 22:46:36 | Why Data Quality is Key to Successful ML Ops | A look at ML Ops and highlight how and why data quality is key to ML Ops workflows. | mlops |
189 | 2403 | 2020-09-30 22:15:07 | Easy Data Augmentation (EDA) | Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks | natural-language-processing |
190 | 2413 | 2020-10-01 23:50:04 | Keeping Data Pipelines healthy w/ Great Expectations GH Actions | We show you how you can use GitHub Actions together with the open source project Great Expectations to automatically test, document, and profile data pipelines. | mlops |
191 | 2428 | 2020-10-05 02:09:23 | Efficient Transformers: A Survey | Characterizes a large and thoughtful selection of recent efficiency-flavored "X-former" models. | natural-language-processing |
192 | 2429 | 2020-10-05 02:16:34 | Meta-learning for Few-shot Natural Language Processing: A Survey | Clear definitions, progress summary and some common datasets of applying meta-learning to few-shot NLP. | natural-language-processing |