added other class to datasets
This commit is contained in:
@@ -1,29 +1,29 @@
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id,created_on,title,description,tag
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19,2020-03-03 13:54:31,Diffusion to Vector,Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX. ,graph-learning
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26,2020-03-07 23:11:58,Graph Wavelet Neural Network,"A PyTorch implementation of ""Graph Wavelet Neural Network"" (ICLR 2019) ",graph-learning
|
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44,2020-03-08 00:32:58,Capsule Graph Neural Network,"A PyTorch implementation of ""Capsule Graph Neural Network"" (ICLR 2019).",graph-learning
|
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19,2020-03-03 13:54:31,Diffusion to Vector,Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX. ,other
|
||||
26,2020-03-07 23:11:58,Graph Wavelet Neural Network,"A PyTorch implementation of ""Graph Wavelet Neural Network"" (ICLR 2019) ",other
|
||||
44,2020-03-08 00:32:58,Capsule Graph Neural Network,"A PyTorch implementation of ""Capsule Graph Neural Network"" (ICLR 2019).",other
|
||||
80,2020-03-20 05:59:32,NeRF: Neural Radiance Fields,Representing scenes as neural radiance fields for view synthesis.,computer-vision
|
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84,2020-03-20 15:18:43,Mention Classifier,"Category prediction model
|
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84,2020-03-20 15:18:43,Mention Classifier,"Category prediction model
|
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This repo contains AllenNLP model for prediction of Named Entity categories by its mentions.",natural-language-processing
|
||||
107,2020-03-21 23:09:03,Plant Fruit Classifier,Building a world-class image classifier model with a custom dataset.,computer-vision
|
||||
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
|
||||
130,2020-03-25 16:55:31,Gymnast Pose Analysis,"Pose modelling for gymnasts using open-pose and open-cv.
|
||||
130,2020-03-25 16:55:31,Gymnast Pose Analysis,"Pose modelling for gymnasts using open-pose and open-cv.
|
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",computer-vision
|
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131,2020-03-25 17:00:54,EfficientDet: Scalable and Efficient Object Detection,Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch.,computer-vision
|
||||
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
|
||||
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
|
||||
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
|
||||
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
|
||||
218,2020-04-06 11:29:57,Distributional RL using TensorFlow2,🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.,reinforcement-learning
|
||||
218,2020-04-06 11:29:57,Distributional RL using TensorFlow2,🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.,other
|
||||
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
|
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249,2020-04-06 19:20:12,makesense.ai,Free to use online tool for labelling photos.,computer-vision
|
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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
|
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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
|
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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
|
||||
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.",other
|
||||
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
|
||||
314,2020-04-08 00:06:21,The Autonomous Learning Library,A PyTorch library for building deep reinforcement learning agents.,reinforcement-learning
|
||||
314,2020-04-08 00:06:21,The Autonomous Learning Library,A PyTorch library for building deep reinforcement learning agents.,other
|
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317,2020-04-08 00:14:27,COCO Annotator,"✏️ Web-based image segmentation tool for object detection, localization and key points.",computer-vision
|
||||
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
|
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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.,other
|
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344,2020-04-08 16:11:28,Tokenizers,💥Fast State-of-the-Art Tokenizers optimized for Research and Production.,natural-language-processing
|
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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
|
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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
|
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@@ -46,22 +46,22 @@ This repo contains AllenNLP model for prediction of Named Entity categories by i
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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
|
||||
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
|
||||
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
|
||||
582,2020-04-20 21:38:50,CS285: Deep Reinforcement Learning,"A course on deep reinforcement learning, transfer and multi-task learning.",reinforcement-learning
|
||||
582,2020-04-20 21:38:50,CS285: Deep Reinforcement Learning,"A course on deep reinforcement learning, transfer and multi-task learning.",other
|
||||
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
|
||||
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
|
||||
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
|
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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
|
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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
|
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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
|
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649,2020-04-28 03:42:29,Spektral,Graph Neural Networks with Keras and Tensorflow 2.,graph-learning
|
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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",other
|
||||
649,2020-04-28 03:42:29,Spektral,Graph Neural Networks with Keras and Tensorflow 2.,other
|
||||
666,2020-04-29 12:10:43,AIDeveloper,"GUI-based software for training, evaluating and applying deep neural nets for image classification ",computer-vision
|
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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
|
||||
681,2020-05-01 16:25:34,The AI Economist,Improving Equality and Productivity with AI-Driven Tax Policies,reinforcement-learning
|
||||
681,2020-05-01 16:25:34,The AI Economist,Improving Equality and Productivity with AI-Driven Tax Policies,other
|
||||
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
|
||||
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
|
||||
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
|
||||
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
|
||||
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
|
||||
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",other
|
||||
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.,other
|
||||
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.,other
|
||||
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).,other
|
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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
|
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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
|
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737,2020-05-06 18:06:04,Nature-Scene Classification using FASTAI,Classifying Nature-scene images using deep learning with fastai library,computer-vision
|
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@@ -73,10 +73,10 @@ This repo contains AllenNLP model for prediction of Named Entity categories by i
|
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807,2020-05-11 02:25:51,Introduction to Machine Learning Problem Framing,This course helps you frame machine learning (ML) problems.,mlops
|
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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
|
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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
|
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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
|
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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.,other
|
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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
|
||||
898,2020-05-17 05:11:22,Single-Stage Semantic Segmentation from Image Labels,"We attain competitive results by training a single network model
|
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for segmentation in a self-supervised fashion using only
|
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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
|
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906,2020-05-18 14:50:45,NLPAug,Data augmentation for NLP,natural-language-processing
|
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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
|
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@@ -92,21 +92,21 @@ image-level annotations",computer-vision
|
||||
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
|
||||
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
|
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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
|
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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
|
||||
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",other
|
||||
1155,2020-06-03 15:22:11,GaborNet,Modified network architecture that focuses on improving convergence and reducing training complexity.,computer-vision
|
||||
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
|
||||
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
|
||||
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
|
||||
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
|
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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
|
||||
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
|
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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),other
|
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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
|
||||
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
|
||||
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
|
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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
|
||||
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
|
||||
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
|
||||
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
|
||||
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.",other
|
||||
1462,2020-06-16 03:28:40,Open Compound Domain Adaptation,"Pytorch implementation for ""Open Compound Domain Adaptation""",computer-vision
|
||||
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
|
||||
1488,2020-06-17 19:27:36,Smart Picture Editor,Tool to automatically remove unwanted objects from photos,computer-vision
|
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@@ -119,32 +119,32 @@ image-level annotations",computer-vision
|
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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
|
||||
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
|
||||
1600,2020-06-25 00:45:26,BERT Distillation with Catalyst,How to distill BERT with Catalyst.,natural-language-processing
|
||||
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
|
||||
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. ",other
|
||||
1654,2020-06-30 03:58:46,3D Detection and Domain Adaptation,1st Place Solution for Waymo Open Dataset Challenge,computer-vision
|
||||
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
|
||||
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
|
||||
1665,2020-07-01 07:17:48,BERTology Meets Biology,Interpreting Attention in Protein Language Models.,natural-language-processing
|
||||
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
|
||||
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
|
||||
1689,2020-07-03 04:29:04,Offline Reinforcement Learning,"Challenges, algorithms and benchmarks.",reinforcement-learning
|
||||
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
|
||||
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
|
||||
1689,2020-07-03 04:29:04,Offline Reinforcement Learning,"Challenges, algorithms and benchmarks.",other
|
||||
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.,other
|
||||
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.,other
|
||||
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
|
||||
1715,2020-07-06 18:25:16,Image Classifier,Pure JavaScript Image Classifier,computer-vision
|
||||
1717,2020-07-07 04:09:35,TaBERT,Pretraining for Joint Understanding of Textual and Tabular Data,natural-language-processing
|
||||
1719,2020-07-07 04:17:11,Texthero,"Text preprocessing, representation and visualization from zero to hero.",natural-language-processing
|
||||
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
|
||||
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
|
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1770,2020-07-11 05:12:49,imgaug,"Image augmentation for machine learning experiments.
|
||||
|
||||
1770,2020-07-11 05:12:49,imgaug,"Image augmentation for machine learning experiments.
|
||||
|
||||
",computer-vision
|
||||
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
|
||||
1799,2020-07-11 06:49:38,FlashText,"Extract Keywords from sentence or Replace keywords in sentences.
|
||||
|
||||
1799,2020-07-11 06:49:38,FlashText,"Extract Keywords from sentence or Replace keywords in sentences.
|
||||
|
||||
",natural-language-processing
|
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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
|
||||
1805,2020-07-11 07:12:32,Segmentation Models,"Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
|
||||
|
||||
1805,2020-07-11 07:12:32,Segmentation Models,"Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
|
||||
|
||||
",computer-vision
|
||||
1825,2020-07-11 08:43:20,MLflow: A Machine Learning Lifecycle Platform,Open source platform for the machine learning lifecycle.,mlops
|
||||
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
|
||||
@@ -153,11 +153,11 @@ image-level annotations",computer-vision
|
||||
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
|
||||
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
|
||||
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
|
||||
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.
|
||||
|
||||
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
|
||||
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
|
||||
1934,2020-07-21 01:47:01,Graphein,Protein Graph Library,graph-learning
|
||||
1934,2020-07-21 01:47:01,Graphein,Protein Graph Library,other
|
||||
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
|
||||
1950,2020-07-23 00:42:09,GPT-3: A Hitchhiker's Guide,Post to guide your thinking on GPT-3.,natural-language-processing
|
||||
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
|
||||
@@ -168,12 +168,12 @@ image-level annotations",computer-vision
|
||||
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
|
||||
1997,2020-07-29 16:13:46,Image Classification by @carrycooldude,Image Classification using TFLite and ImageNet by @carrycooldude,computer-vision
|
||||
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
|
||||
2010,2020-07-30 15:00:43,FrImCla: A framework for image classification,"
|
||||
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
|
||||
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
|
||||
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
|
||||
2025,2020-08-01 14:57:11,Haystack — Neural Question Answering At Scale,"🔍 Transformers at scale for question answering & search
|
||||
|
||||
2025,2020-08-01 14:57:11,Haystack — Neural Question Answering At Scale,"🔍 Transformers at scale for question answering & search
|
||||
|
||||
",natural-language-processing
|
||||
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
|
||||
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
|
||||
@@ -185,8 +185,8 @@ FrImCla is an open-source framework for Image Classification using traditional a
|
||||
2195,2020-08-20 20:45:52,Streamlit Terran Timeline,A face-recognition timeline generator tool for any kind of video!,computer-vision
|
||||
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
|
||||
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
|
||||
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
|
||||
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.
|
||||
2232,2020-08-27 11:00:34,GenRL,GenRL is a PyTorch-First Reinforcement Learning library centered around reproducible and generalizable algorithm implementations.,other
|
||||
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
|
||||
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
|
||||
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
|
||||
@@ -196,7 +196,7 @@ FrImCla is an open-source framework for Image Classification using traditional a
|
||||
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
|
||||
2312,2020-09-12 22:33:56,Codequestion,Ask coding questions directly from the terminal.,natural-language-processing
|
||||
2336,2020-09-19 08:40:37,G-SimCLR,TensorFlow implementation of G-SimCLR. ,computer-vision
|
||||
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
|
||||
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.,other
|
||||
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
|
||||
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
|
||||
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
|
||||
|
||||
|
Reference in New Issue
Block a user