id int64 6 2.44k | created_on stringlengths 19 19 | title stringlengths 3 65 | description stringlengths 18 342 | tag stringclasses 4
values |
|---|---|---|---|---|
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 |
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 |
9 | 2020-02-24 16:24:45 | Awesome Graph Classification | A collection of important graph embedding, classification and representation learning papers with implementations. | other |
15 | 2020-02-28 23:55:26 | Awesome Monte Carlo Tree Search | A curated list of Monte Carlo tree search papers with implementations. | other |
25 | 2020-03-07 23:04:31 | AttentionWalk | A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018). | other |
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 |
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 |
29 | 2020-03-07 23:45:38 | Signed Graph Convolutional Network | A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018). | other |
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 |
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 |
65 | 2020-03-19 18:42:05 | Coloring Greyscale Images | Coloring black and white images with neural networks. | computer-vision |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
91 | 2020-03-20 18:30:04 | Pytest Board | Continuous pytest runner with awesome visualization. | mlops |
92 | 2020-03-20 18:43:50 | Image Spam Buster - Kreate Hackathon | "Spam Buster" for user generated IMAGE content. | computer-vision |
98 | 2020-03-20 19:16:43 | Bachelorette Predictor | Predict the Bachelorette winners from profile images. | computer-vision |
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 |
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 |
108 | 2020-03-21 23:17:38 | Tuned ALBERT (ensemble model) | Top 6 in Squad 2.0 | natural-language-processing |
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 |
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 |
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 |
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 |
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 |
118 | 2020-03-22 21:46:52 | Sinext | Sign language to text with OpenCV and MNIST sign-language dataset | computer-vision |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
148 | 2020-03-30 14:13:46 | An Illustrated Guide to Graph Neural Networks | A breakdown of the inner workings of GNNs. | other |
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 |
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 |
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 |
158 | 2020-04-03 04:41:07 | Tracking Objects as Points | Simultaneous object detection and tracking using center points. | computer-vision |
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 |
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 |
163 | 2020-04-03 20:21:13 | NLP Newsletter | Democratizing Artificial Intelligence Research, Education, and Technologies. | natural-language-processing |
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 |
173 | 2020-04-05 03:00:05 | Design Patterns for Production NLP Systems | Designs and tips for designing NLP production systems. | natural-language-processing |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
250 | 2020-04-06 19:24:06 | Doccano | Open source text annotation tool for machine learning practitioner. | natural-language-processing |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
260 | 2020-04-06 20:55:32 | The Illustrated BERT, ELMo, and co. | How NLP cracked transfer learning. | natural-language-processing |
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 |
262 | 2020-04-06 21:11:40 | Visualizing A Neural Machine Translation Model | Mechanics of seq2seq models with attention. | natural-language-processing |
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 |
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 |
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 |
272 | 2020-04-06 23:38:26 | The Annotated GPT-2 | GPT-2 explained with visualization and PyTorch code. | natural-language-processing |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
294 | 2020-04-07 15:36:13 | PyTorch Geometric | Geometric deep learning extension library for PyTorch. | other |
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 |
306 | 2020-04-07 20:07:28 | BERT Research - Key Concepts & Sources | Video series on BERT's key concepts and sources. | natural-language-processing |
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 |
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 |
313 | 2020-04-08 00:02:27 | NVIDIA Neural Modules: NeMo | A toolkit for conversational AI. | natural-language-processing |
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 |
316 | 2020-04-08 00:12:26 | Clinical BERT | Repository for Publicly Available Clinical BERT Embeddings | natural-language-processing |
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 |
319 | 2020-04-08 00:19:04 | LabelImg | 🖍️ A graphical image annotation tool and label object bounding boxes in images. | computer-vision |
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 |
334 | 2020-04-08 15:04:28 | BioWordVec & BioSentVec | Pre-trained embeddings for biomedical words and sentences | natural-language-processing |
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 |
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