Top Deep Learning Projects
A list of popular github projects related to deep learning (ranked by stars).
Last Update: 2020.07.09
| Project Name | Stars | Description |
| ------- | ------ | ------ |
|tensorflow|146k|An Open Source Machine Learning Framework for Everyone|
|keras|48.9k|Deep Learning for humans|
|opencv|46.1k|Open Source Computer Vision Library|
|pytorch|40k|Tensors and Dynamic neural networks in Python with strong GPU acceleration|
|TensorFlow-Examples|38.1k|TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)|
|tesseract|35.3k|Tesseract Open Source OCR Engine (main repository)|
|face_recognition|35.2k|The world's simplest facial recognition api for Python and the command line|
|faceswap|31.4k|Deepfakes Software For All|
|transformers|30.4k|🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.|
|100-Days-Of-ML-Code|29.1k|100 Days of ML Coding|
|julia|28.1k|The Julia Language: A fresh approach to technical computing.|
|gold-miner|26.6k|🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：|
|awesome-scalability|26.6k|The Patterns of Scalable, Reliable, and Performant Large-Scale Systems|
|basics|24.5k|📚 Learn ML with clean code, simplified math and illustrative visuals.|
|bert|23.9k|TensorFlow code and pre-trained models for BERT|
|funNLP|22.1k|(Machine Learning)NLP面试中常考到的知识点和代码实现、nlp4han:中文自然语言处理工具集(断句/分词/词性标注/组块/句法分析/语义分析/NER/N元语法/HMM/代词消解/情感分析/拼写检查、XLM：Face…|
|xgboost|19.4k|Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow|
|Real-Time-Voice-Cloning|18.4k|Clone a voice in 5 seconds to generate arbitrary speech in real-time|
|d2l-zh|17.9k|《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。|
|openpose|17.8k|OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation|
|Coursera-ML-AndrewNg-Notes|17.7k|吴恩达老师的机器学习课程个人笔记|
|DeepFaceLab|17.3k|DeepFaceLab is the leading software for creating deepfakes.|
|pytorch-tutorial|17.3k|PyTorch Tutorial for Deep Learning Researchers|
|Mask_RCNN|17.2k|Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow|
|spaCy|16.8k|💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython|
|NLP-progress|16.2k|Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.|
|100-Days-Of-ML-Code|15.6k|100-Days-Of-ML-Code中文版|
|cs-video-courses|14.9k|List of Computer Science courses with video lectures.|
|WaveFunctionCollapse|14.7k|Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics.|
|lectures|14.7k|Oxford Deep NLP 2017 course|
|reinforcement-learning|14.7k|Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accom…|
|pwc|14.7k|Papers with code. Sorted by stars. Updated weekly.|
|TensorFlow-Course|14.6k|Simple and ready-to-use tutorials for TensorFlow|
|DeepSpeech|14.4k|A TensorFlow implementation of Baidu's DeepSpeech architecture|
|pumpkin-book|14k|《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book|
|tfjs|13.5k|A WebGL accelerated JavaScript library for training and deploying ML models.|
|examples|13.5k|A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.|
|openface|13.5k|Face recognition with deep neural networks.|
|Qix|13.3k|Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang|
|spleeter|12.7k|Deezer source separation library including pretrained models.|
|Virgilio|12.7k|Your new Mentor for Data Science E-Learning.|
|nndl.github.io|12.7k|《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning|
|Screenshot-to-code|12.7k|A neural network that transforms a design mock-up into a static website.|
|pytorch-CycleGAN-and-pix2pix|12.4k|Image-to-Image Translation in PyTorch|
|pytorch-handbook|11.9k|pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行|
|gun|11.9k|An open source cybersecurity protocol for syncing decentralized graph data.|
|Paddle|11.8k|PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训…|
|tensorflow-zh|11.8k|谷歌全新开源人工智能系统TensorFlow官方文档中文版|
|darknet|11.4k|YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )|
|learnopencv|11.4k|Learn OpenCV : C++ and Python Examples|
|neural-networks-and-deep-learning|11.3k|Code samples for my book "Neural Networks and Deep Learning"|
|google-research|11.2k|Google Research|
|labelImg|11.2k|🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images|
|gensim|11k|Topic Modelling for Humans|
|pix2code|10.9k|pix2code: Generating Code from a Graphical User Interface Screenshot|
|facenet|10.8k|Face recognition using Tensorflow|
|DeOldify|10.7k|A Deep Learning based project for colorizing and restoring old images (and video!)|
|python-machine-learning-book|10.7k|The "Python Machine Learning (1st edition)" book code repository and info resource|
|stanford-cs-229-machine-learning|10.6k|VIP cheatsheets for Stanford's CS 229 Machine Learning|
|mmdetection|10.5k|OpenMMLab Detection Toolbox and Benchmark|
|face-api.js|10.4k|JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js|
|Awesome-pytorch-list|10.4k|A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,t…|
|nsfw_data_scraper|10.2k|Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier|
|convnetjs|10k|Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.|
|CycleGAN|9.8k|Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.|
|streamlit|9.8k|Streamlit — The fastest way to build data apps in Python|
|DeepCreamPy|9.7k|Decensoring Hentai with Deep Neural Networks|
|stylegan|9.7k|StyleGAN - Official TensorFlow Implementation|
|Dive-into-DL-PyTorch|9.6k|本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。|
|stanford-tensorflow-tutorials|9.6k|This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.|
|horovod|9.6k|Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.|
|Deep-Learning-with-TensorFlow-book|9.4k|深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.|
|neural-doodle|9.4k|Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)|
|caire|9.3k|Content aware image resize library|
|fast-style-transfer|9.2k|TensorFlow CNN for fast style transfer ⚡🖥🎨🖼|
|ncnn|9.2k|ncnn is a high-performance neural network inference framework optimized for the mobile platform|
|kubeflow|9.1k|Machine Learning Toolkit for Kubernetes|
|nltk|9k|NLTK Source|
|flair|9k|A very simple framework for state-of-the-art Natural Language Processing (NLP)|
|ml-agents|9k|Unity Machine Learning Agents Toolkit|
|allennlp|8.8k|An open-source NLP research library, built on PyTorch.|
|botpress|8.8k|🤖 The Conversational Platform with built-in language understanding (NLU), beautiful graphical interface and Dialog Manager (DM). Easily create chatbots and AI-based virtual assistants.|
|the-gan-zoo|8.7k|A list of all named GANs!|
|EffectiveTensorflow|8.6k|TensorFlow tutorials and best practices.|
|tfjs-core|8.5k|WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.|
|fairseq|8.4k|Facebook AI Research Sequence-to-Sequence Toolkit written in Python.|
|sonnet|8.4k|TensorFlow-based neural network library|
|mit-deep-learning-book-pdf|8.3k|MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville|
|TensorFlow-Tutorials|8.3k|TensorFlow Tutorials with YouTube Videos|
|pytorch_geometric|8.2k|Geometric Deep Learning Extension Library for PyTorch|
|tutorials|8.2k|机器学习相关教程|
|fashion-mnist|8k|A MNIST-like fashion product database. Benchmark 👉|
|bert-as-service|7.9k|Mapping a variable-length sentence to a fixed-length vector using BERT model|
|pix2pix|7.8k|Image-to-image translation with conditional adversarial nets|
|mediapipe|7.7k|MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.|
|recommenders|7.7k|Best Practices on Recommendation Systems|
|mit-deep-learning|7.7k|Tutorials, assignments, and competitions for MIT Deep Learning related courses.|
|pytorch-book|7.6k|PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)|
|Winds|7.6k|A Beautiful Open Source RSS & Podcast App Powered by Getstream.io|
|vid2vid|7.4k|Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.|
|Learn_Machine_Learning_in_3_Months|7.3k|This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube|
|golearn|7.3k|Machine Learning for Go|
|Keras-GAN|7.2k|Keras implementations of Generative Adversarial Networks.|
|mlcourse.ai|7k|Open Machine Learning Course|
|faceai|7k|一款入门级的人脸、视频、文字检测以及识别的项目.|
|pysc2|6.9k|StarCraft II Learning Environment|
|pretrained-models.pytorch|6.9k|Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.|
|PyTorch-GAN|6.7k|PyTorch implementations of Generative Adversarial Networks.|
|vision|6.7k|Datasets, Transforms and Models specific to Computer Vision|
|nlp-tutorial|6.6k|Natural Language Processing Tutorial for Deep Learning Researchers|
|bullet3|6.6k|Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics,|
|DCGAN-tensorflow|6.6k|A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"|
|tfjs-models|6.5k|Pretrained models for TensorFlow.js|
|abu|6.5k|阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构|
|pytorch-lightning|6.5k|The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate|
|tensorboardX|6.4k|tensorboard for pytorch (and chainer, mxnet, numpy, ...)|
|machine-learning-course|6.4k|💬 Machine Learning Course with Python:|
|guess|6.3k|🔮 Libraries & tools for enabling Machine Learning driven user-experiences on the web|
|pyro|6.3k|Deep universal probabilistic programming with Python and PyTorch|
|lab|6.2k|A customisable 3D platform for agent-based AI research|
|mml-book.github.io|6.2k|Companion webpage to the book "Mathematics For Machine Learning"|
|Interview|6.2k|Interview = 简历指南 + LeetCode + Kaggle|
|tensorlayer|6.2k|Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥|
|generative-models|6.1k|Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.|
|machine-learning-yearning-cn|6.1k|Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著|
|keras-yolo3|6k|A Keras implementation of YOLOv3 (Tensorflow backend)|
|BossSensor|5.9k|Hide screen when boss is approaching.|
|tensorflow2_tutorials_chinese|5.9k|tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials|
|TensorFlow-Tutorials|5.9k|Simple tutorials using Google's TensorFlow Framework|
|argo|5.9k|Argo Workflows: Get stuff done with Kubernetes.|
|python-machine-learning-book-2nd-edition|5.8k|The "Python Machine Learning (2nd edition)" book code repository and info resource|
|dvc|5.7k|🦉Data Version Control | Git for Data & Models|
|EasyPR|5.7k|An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.|
|AdversarialNetsPapers|5.6k|The classical paper list with code about generative adversarial nets|
|tensorpack|5.6k|A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility|
|photoprism|5.6k|Personal Photo Management powered by Go and Google TensorFlow|
|tensorflow_cookbook|5.6k|Code for Tensorflow Machine Learning Cookbook|
|albumentations|5.6k|fast image augmentation library and easy to use wrapper around other libraries|
|swift|5.6k|Swift for TensorFlow|
|darkflow|5.6k|Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices|
|tensorflow_tutorials|5.5k|From the basics to slightly more interesting applications of Tensorflow|
|deep-learning-coursera|5.5k|Deep Learning Specialization by Andrew Ng on Coursera.|
|transferlearning|5.5k|Everything about Transfer Learning and Domain Adaptation--迁移学习|
|ML-NLP|5.5k|此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。|
|nmt|5.5k|TensorFlow Neural Machine Translation Tutorial|
|faster-rcnn.pytorch|5.5k|A faster pytorch implementation of faster r-cnn|
|UGATIT|5.4k|Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Inst…|
|pandas-profiling|5.4k|Create HTML profiling reports from pandas DataFrame objects|
|deep-residual-networks|5.4k|Deep Residual Learning for Image Recognition|
|xlnet|5.3k|XLNet: Generalized Autoregressive Pretraining for Language Understanding|
|leeml-notes|5.2k|李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes|
|wav2letter|5.2k|Facebook AI Research's Automatic Speech Recognition Toolkit|
|neural-style|5.2k|Neural style in TensorFlow! 🎨|
|CVPR2020-Paper-Code-Interpretation|5.2k|cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理|
|TensorFlow-2.x-Tutorials|5.2k|TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT exampl…|
|yolov3|5.2k|YOLOv3 in PyTorch > ONNX > CoreML > iOS|
|cnn-text-classification-tf|5.2k|Convolutional Neural Network for Text Classification in Tensorflow|
|seq2seq|5.2k|A general-purpose encoder-decoder framework for Tensorflow|
|chineseocr_lite|5.1k|超轻量级中文ocr，支持竖排文字识别, 支持ncnn推理 , dbnet(1.7M) + crnn(6.3M) + anglenet(1.5M) 总模型仅10M|
|featuretools|5k|An open source python library for automated feature engineering|
|labelme|5k|Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).|
|ImageAI|5k|A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities|
|nlp-recipes|5k|Natural Language Processing Best Practices & Examples|
|have-fun-with-machine-learning|4.9k|An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks|
|eat_tensorflow2_in_30_days|4.9k|Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋|
|tensorflow-wavenet|4.9k|A TensorFlow implementation of DeepMind's WaveNet paper|
|PyTorch-Tutorial|4.9k|Build your neural network easy and fast|
|stylegan2|4.9k|StyleGAN2 - Official TensorFlow Implementation|
|h2o-3|4.9k|Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBo…|
|awesome-machine-learning-on-source-code|4.8k|Cool links & research papers related to Machine Learning applied to source code (MLonCode)|
|Learning-to-See-in-the-Dark|4.8k|Learning to See in the Dark. CVPR 2018|
|PyTorch-YOLOv3|4.8k|Minimal PyTorch implementation of YOLOv3|
|first-order-model|4.8k|This repository contains the source code for the paper First Order Motion Model for Image Animation|
|models|4.8k|Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）|
|smile|4.8k|Statistical Machine Intelligence & Learning Engine|
|keras-js|4.7k|Run Keras models in the browser, with GPU support using WebGL|
|carla|4.7k|Open-source simulator for autonomous driving research.|
|keras-rl|4.7k|Deep Reinforcement Learning for Keras.|
|useful-java-links|4.7k|A list of useful Java frameworks, libraries, software and hello worlds examples|
|Awesome-CoreML-Models|4.7k|Largest list of models for Core ML (for iOS 11+)|
|python-small-examples|4.7k|告别枯燥，致力于打造 Python 富有体系且实用的小例子、小案例。|
|gcn|4.7k|Implementation of Graph Convolutional Networks in TensorFlow|
|introduction_to_ml_with_python|4.7k|Notebooks and code for the book "Introduction to Machine Learning with Python"|
|stargan|4.6k|StarGAN - Official PyTorch Implementation (CVPR 2018)|
|pix2pixHD|4.6k|Synthesizing and manipulating 2048x1024 images with conditional GANs|
|Data-Science-Wiki|4.6k|A wiki of DataScience, Statistics, Maths, R,Python, AI, Machine Learning, Automation, Devops Tools, Bash, Linux Tutor…|
|MVision|4.6k|机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶|
|cleverhans|4.6k|An adversarial example library for constructing attacks, building defenses, and benchmarking both|
|vaex|4.6k|Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second 🚀|
|Grokking-Deep-Learning|4.6k|this repository accompanies the book "Grokking Deep Learning"|
|trax|4.5k|Trax — Deep Learning with Clear Code and Speed|
|graph_nets|4.5k|Build Graph Nets in Tensorflow|
|edward|4.5k|A probabilistic programming language in TensorFlow. Deep generative models, variational inference.|
|TensorFlow-World|4.5k|🌎 Simple and ready-to-use tutorials for TensorFlow|
|imbalanced-learn|4.5k|A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning|
|machine-learning-mindmap|4.5k|A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.|
|seq2seq-couplet|4.5k|Play couplet with seq2seq model. 用深度学习对对联。|
|EfficientNet-PyTorch|4.4k|A PyTorch implementation of EfficientNet|
|TensorFlow-Book|4.4k|Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.|
|stanza|4.4k|Official Stanford NLP Python Library for Many Human Languages|
|amazon-dsstne|4.4k|Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) ma…|
|cnn-explainer|4.4k|Learning Convolutional Neural Networks with Interactive Visualization.|
|Realtime_Multi-Person_Pose_Estimation|4.4k|Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)|
|stanford-cs-230-deep-learning|4.3k|VIP cheatsheets for Stanford's CS 230 Deep Learning|
|Real-Time-Person-Removal|4.3k|Removing people from complex backgrounds in real time using TensorFlow.js in the web browser|
|OpenNMT-py|4.3k|Open Source Neural Machine Translation in PyTorch|
|tensorflow_practice|4.3k|tensorflow实战练习，包括强化学习、推荐系统、nlp等|
|pytorch-cnn-visualizations|4.2k|Pytorch implementation of convolutional neural network visualization techniques|
|tensorspace|4.2k|Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep …|
|DeepLearningExamples|4.2k|Deep Learning Examples|
|sketch-code|4.2k|Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to dra…|
|deeplearning-papernotes|4.2k|Summaries and notes on Deep Learning research papers|
|apex|4.2k|A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch|
|AlphaPose|4.1k|Real-Time and Accurate Multi-Person Pose Estimation&Tracking System|
|attention-is-all-you-need-pytorch|4.1k|A PyTorch implementation of the Transformer model in "Attention is All You Need".|
|nmap|4.1k|Nmap - the Network Mapper. Github mirror of official SVN repository.|
|Machine-learning-learning-notes|4.1k|周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有…|
|serenata-de-amor|4.1k|🕵 Artificial Intelligence for social control of public administration|
|practical-pytorch|4.1k|DEPRECATED and not maintained - see official repo at https://github.com/pytorch/tutorials|
|pytorch-image-models|4.1k|PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more|
|face-alignment|4k|🔥 2D and 3D Face alignment library build using pytorch|
|learning-to-learn|4k|Learning to Learn in TensorFlow|
|machine-learning-notes|4k|My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更…|
|umap|4k|Uniform Manifold Approximation and Projection|
|DeepLearningZeroToAll|4k|TensorFlow Basic Tutorial Labs|
|gluon-cv|4k|Gluon CV Toolkit|
|pipeline|4k|PipelineAI Kubeflow Distribution|
|snorkel|4k|A system for quickly generating training data with weak supervision|
|DIGITS|4k|Deep Learning GPU Training System|
|DenseNet|4k|Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).|
|awesome-project-ideas|4k|Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas|
|tutorials|4k|PyTorch tutorials.|
|Deep-Learning-21-Examples|3.9k|《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码|
|DeepLearningTutorials|3.9k|Deep Learning Tutorial notes and code. See the wiki for more info.|
|textgenrnn|3.9k|Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines …|
|lucid|3.8k|A collection of infrastructure and tools for research in neural network interpretability.|
|nsfwjs|3.8k|NSFW detection on the client-side via TensorFlow.js|
|ssd.pytorch|3.8k|A PyTorch Implementation of Single Shot MultiBox Detector|
|MachineLearning|3.8k|Basic Machine Learning and Deep Learning|
|Tensorflow-Tutorial|3.8k|Tensorflow tutorial from basic to hard|
|awesome-ml-for-cybersecurity|3.8k|Machine Learning for Cyber Security|
|daily-paper-computer-vision|3.8k|记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文|
|SSD-Tensorflow|3.8k|Single Shot MultiBox Detector in TensorFlow|
|cvat|3.8k|Powerful and efficient Computer Vision Annotation Tool (CVAT)|
|deep-learning-roadmap|3.8k|📡 All You Need to Know About Deep Learning - A kick-starter|
|sqlflow|3.8k|Brings SQL and AI together.|
|mmf|3.7k|A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)|
|tensorflow-docs|3.7k|TensorFlow 最新官方文档中文版|
|iGAN|3.7k|Interactive Image Generation via Generative Adversarial Networks|
|CapsNet-Tensorflow|3.7k|A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules|
|Yet-Another-EfficientDet-Pytorch|3.6k|The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.|
|pytorch-examples|3.6k|Simple examples to introduce PyTorch|
|ML_for_Hackers|3.6k|Code accompanying the book "Machine Learning for Hackers"|
|docs|3.6k|TensorFlow documentation|
|tensorflow-generative-model-collections|3.6k|Collection of generative models in Tensorflow|
|DeepLearning.ai-Summary|3.6k|This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed ever…|
|BERT-pytorch|3.6k|Google AI 2018 BERT pytorch implementation|
|pwnagotchi|3.5k|(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.|
|HyperLPR|3.5k|基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.|
|deep-learning|3.5k|Repo for the Deep Learning Nanodegree Foundations program.|
|TensorFlowOnSpark|3.5k|TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.|
|BigDL|3.5k|BigDL: Distributed Deep Learning Framework for Apache Spark|
|AlgoWiki|3.5k|Repository which contains links and resources on different topics of Computer Science.|
|examples|3.5k|TensorFlow examples|
|tf-faster-rcnn|3.4k|Tensorflow Faster RCNN for Object Detection|
|tf-pose-estimation|3.4k|Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.|
|awesome-machine-learning-cn|3.4k|机器学习资源大全中文版，包括机器学习领域的框架、库以及软件|
|metaflow|3.4k|Build and manage real-life data science projects with ease.|
|deep-reinforcement-learning|3.3k|Repo for the Deep Reinforcement Learning Nanodegree program|
|semantic-segmentation-pytorch|3.3k|Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset|
|gocv|3.3k|Go package for computer vision using OpenCV 4 and beyond.|
|d2l-pytorch|3.3k|This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.|
|Chinese-BERT-wwm|3.3k|Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）|
|SmartCropper|3.3k|🔥 A library for cropping image in a smart way that can identify the border and correct the cropped image. 智能图片裁剪框架。自动识别边框，手动调节选区，使用透视变换裁剪并矫正选区；适用于身份证，名片，文档等照片的裁剪。|
|PyTorchZeroToAll|3.3k|Simple PyTorch Tutorials Zero to ALL!|
|pyAudioAnalysis|3.3k|Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications|
|InterpretableMLBook|3.3k|《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版|
|snips-nlu|3.3k|Snips Python library to extract meaning from text|
|pyod|3.3k|A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)|
|DeepLearning|3.2k|深度学习入门教程, 优秀文章, Deep Learning Tutorial|
|vespa|3.2k|Vespa is an engine for low-latency computation over large data sets.|
|deep-voice-conversion|3.2k|Deep neural networks for voice conversion (voice style transfer) in Tensorflow|
|lightfm|3.2k|A Python implementation of LightFM, a hybrid recommendation algorithm.|
|machine-learning|3.2k|Content for Udacity's Machine Learning curriculum|
|skflow|3.2k|Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning|
|Tensorflow-Project-Template|3.2k|A best practice for tensorflow project template architecture.|
|EasyOCR|3.2k|Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai|
|text-classification-cnn-rnn|3.1k|CNN-RNN中文文本分类，基于TensorFlow|
|MachineLearning_Python|3.1k|机器学习算法python实现|
|imagededup|3.1k|😎 Finding duplicate images made easy!|
|MatchZoo|3.1k|Facilitating the design, comparison and sharing of deep text matching models.|
|transformer|3.1k|A TensorFlow Implementation of the Transformer: Attention Is All You Need|
|tensorflow_poems|3.1k|中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！|
|Deep-Learning-Roadmap|3.1k|📡 Organized Resources for Deep Learning Researchers and Developers|
|label-studio|3.1k|Label Studio is a multi-type data labeling and annotation tool with standardized output format|
|ASRT_SpeechRecognition|3.1k|A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统|
|benchmark_results|3.1k|Visual Tracking Paper List|
|Machine-Learning|3k|⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归|
|yolact|3k|A simple, fully convolutional model for real-time instance segmentation.|
|trfl|3k|TensorFlow Reinforcement Learning|
|pytorch-cifar|3k|95.16% on CIFAR10 with PyTorch|
|sacred|3k|Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.|
|yolov5|3k|YOLOv5 in PyTorch > ONNX > CoreML > iOS|
|Reinforcement-Learning|3k|Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning|
|distiller|3k|Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasy…|
|FastMaskRCNN|3k|Mask RCNN in TensorFlow|
|probability|3k|Probabilistic reasoning and statistical analysis in TensorFlow|
|DeepVideoAnalytics|2.9k|A distributed visual search and visual data analytics platform.|
|tensorwatch|2.9k|Debugging, monitoring and visualization for Python Machine Learning and Data Science|
|darts|2.9k|Differentiable architecture search for convolutional and recurrent networks|
|computervision-recipes|2.9k|Best Practices, code samples, and documentation for Computer Vision.|
|text-detection-ctpn|2.9k|text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network|
|tensorflow-windows-wheel|2.9k|Tensorflow prebuilt binary for Windows|
|tensorflow-yolov3|2.9k|🔥 Pure tensorflow Implement of YOLOv3 with support to train your own dataset|
|zhihu|2.9k|This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.|
|BERT-BiLSTM-CRF-NER|2.9k|Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services|
|TensorFlowSharp|2.9k|TensorFlow API for .NET languages|
|ignite|2.9k|High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.|
|tensorflow-tutorial|2.9k|Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.|
|100-Days-of-ML-Code-Chinese-Version|2.9k|Chinese Translation for Machine Learning Infographics|
|deep-learning-papers-translation|2.9k|深度学习论文翻译，包括分类论文，检测论文等|
|DMTK|2.8k|Microsoft Distributed Machine Learning Toolkit|
|caffe-tensorflow|2.8k|Caffe models in TensorFlow|
|libpostal|2.8k|A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.|
|pigo|2.8k|Pure Go face detection, pupil/eyes localization and facial landmark points detection library|
|mindsdb|2.8k|Machine Learning in one line of code|
|Tensorflow-Cookbook|2.8k|Simple Tensorflow Cookbook for easy-to-use|
|easy-tensorflow|2.8k|Simple and comprehensive tutorials in TensorFlow|
|DeepLearning|2.8k|Deep Learning (Python, C, C++, Java, Scala, Go)|
|pytorch-yolo-v3|2.8k|A PyTorch implementation of the YOLO v3 object detection algorithm|
|jukebox|2.8k|Code for the paper "Jukebox: A Generative Model for Music"|
|makegirlsmoe_web|2.8k|Create Anime Characters with MakeGirlsMoe|
|deep-learning-keras-tensorflow|2.8k|Introduction to Deep Neural Networks with Keras and Tensorflow|
|SiamMask|2.7k|[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach|
|tencent-ml-images|2.7k|Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet|
|DALI|2.7k|A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep le…|
|shogun|2.7k|Shōgun|
|optuna|2.7k|A hyperparameter optimization framework|
|Automatic_Speech_Recognition|2.7k|End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow|
|pytorch-semseg|2.7k|Semantic Segmentation Architectures Implemented in PyTorch|
|pygcn|2.7k|Graph Convolutional Networks in PyTorch|
|deep-learning-book|2.7k|Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in …|
|pointnet|2.7k|PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation|
|CVPR2020-Code|2.7k|CVPR 2020 论文开源项目合集|
|Detectron.pytorch|2.7k|A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron we…|
|LSTM-Human-Activity-Recognition|2.6k|Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier|
|neural-style-tf|2.6k|TensorFlow (Python API) implementation of Neural Style|
|Pytorch-UNet|2.6k|PyTorch implementation of the U-Net for image semantic segmentation with high quality images|
|kornia|2.6k|Open Source Differentiable Computer Vision Library for PyTorch|
|Ad-papers|2.6k|Papers on Computational Advertising|
|deep-high-resolution-net.pytorch|2.6k|The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Hum…|
|VoTT|2.6k|Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.|
|espnet|2.6k|End-to-End Speech Processing Toolkit|
|ltp|2.6k|Language Technology Platform|
|Learn_Deep_Learning_in_6_Weeks|2.6k|This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube|
|keras-vis|2.6k|Neural network visualization toolkit for keras|
|onnxruntime|2.6k|ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator|
|3DDFA|2.6k|The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.|
|olivia|2.6k|💁♀️Your new best friend powered by an artificial neural network|
|albert_zh|2.6k|A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型|
|ai-deadlines|2.6k|⏰ AI conference deadline countdowns|
|opencvsharp|2.5k|.NET Framework wrapper for OpenCV|
|telegram-list|2.5k|List of telegram groups, channels & bots // Список интересных групп, каналов и ботов телеграма // Список чатов для программистов|
|easy12306|2.5k|使用机器学习算法完成对12306验证码的自动识别|
|rust|2.5k|Rust language bindings for TensorFlow|
|miles-deep|2.5k|Deep Learning Porn Video Classifier/Editor with Caffe|
|VisualDL|2.5k|Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）|
|SinGAN|2.5k|Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"|
|t81_558_deep_learning|2.5k|Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks|
|training|2.5k|🐝 Custom Object Detection and Classification Training|
|PocketFlow|2.5k|An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.|
|autogluon|2.5k|AutoGluon: AutoML Toolkit for Deep Learning|
|simple-faster-rcnn-pytorch|2.5k|A simplified implemention of Faster R-CNN that replicate performance from origin paper|
|MITIE|2.5k|MITIE: library and tools for information extraction|
|reinforcement-learning|2.5k|Minimal and Clean Reinforcement Learning Examples|
|ISLR-python|2.4k|An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code|
|EAST|2.4k|A tensorflow implementation of EAST text detector|
|DeepNLP-models-Pytorch|2.4k|Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)|
|Machine-Learning-with-Python|2.4k|Python code for common Machine Learning Algorithms|
|stanford_dl_ex|2.4k|Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial|
|tensorflow-internals|2.4k|It is open source ebook about TensorFlow kernel and implementation mechanism.|
|DeepLearning|2.4k|Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现|
|text|2.4k|Data loaders and abstractions for text and NLP|
|ALAE|2.4k|[CVPR2020] Adversarial Latent Autoencoders|
|pytorch-summary|2.4k|Model summary in PyTorch similar to model.summary() in Keras|
|pytorch-doc-zh|2.4k|Pytorch 中文文档|
|Deep_reinforcement_learning_Course|2.4k|Implementations from the free course Deep Reinforcement Learning with Tensorflow|
|ML-Tutorial-Experiment|2.4k|Coding the Machine Learning Tutorial for Learning to Learn|
|pytorch-Deep-Learning|2.4k|Deep Learning (with PyTorch)|
|models|2.4k|A collection of pre-trained, state-of-the-art models in the ONNX format|
|book|2.4k|Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）|
|PyTorch_Tutorial|2.4k|《Pytorch模型训练实用教程》中配套代码|
|Dive-into-DL-TensorFlow2.0|2.4k|本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意|
|Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials|2.4k|A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding in…|
|segmentation_models|2.4k|Segmentation models with pretrained backbones. Keras and TensorFlow Keras.|
|Awesome-PyTorch-Chinese|2.3k|【干货】史上最全的PyTorch学习资源汇总|
|Flux.jl|2.3k|Relax! Flux is the ML library that doesn't make you tensor|
|weld|2.3k|High-performance runtime for data analytics applications|
|PyTorch-BigGraph|2.3k|Generate embeddings from large-scale graph-structured data.|
|byteps|2.3k|A high performance and generic framework for distributed DNN training|
|AI-Job-Notes|2.3k|AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）|
|luminoth|2.3k|⚠️ UNMAINTAINED. Deep Learning toolkit for Computer Vision.|
|Alink|2.3k|Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platf…|
|introtodeeplearning|2.3k|Lab Materials for MIT 6.S191: Introduction to Deep Learning|
|TensorFlow-and-DeepLearning-Tutorial|2.3k|A TensorFlow & Deep Learning online course I taught in 2016|
|srgan|2.3k|Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network|
|colorization|2.3k|Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.|
|OpenNMT|2.3k|Open Source Neural Machine Translation in Torch (deprecated)|
|Super-SloMo|2.3k|PyTorch implementation of Super SloMo by Jiang et al.|
|orange3|2.3k|🍊 📊 💡 Orange: Interactive data analysis https://orange.biolab.si|
|ENAS-pytorch|2.3k|PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"|
|3D-ResNets-PyTorch|2.3k|3D ResNets for Action Recognition (CVPR 2018)|
|pomegranate|2.3k|Fast, flexible and easy to use probabilistic modelling in Python.|
|Faster-RCNN_TF|2.3k|Faster-RCNN in Tensorflow|
|datascience|2.3k|Curated list of Python resources for data science.|
|deep-learning-from-scratch|2.3k|『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)|
|covid-chestxray-dataset|2.2k|We are building an open database of COVID-19 cases with chest X-ray or CT images.|
|deepchem|2.2k|Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology|
|awesome-learning-resources|2.2k|🔥 Awesome list of resources on Web Development.|
|omniscidb|2.2k|OmniSciDB (formerly MapD Core)|
|tablesaw|2.2k|Java dataframe and visualization library|
|Semantic-Segmentation-Suite|2.2k|Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!|
|FCOS|2.2k|FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)|
|spotlight|2.2k|Deep recommender models using PyTorch.|
|datasets|2.2k|TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...|
|Deep-Learning-for-Recommendation-Systems|2.2k|This repository contains Deep Learning based articles , paper and repositories for Recommender Systems|
|gluon-nlp|2.1k|NLP made easy|
|dowhy|2.1k|DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.|
|keras-attention-mechanism|2.1k|Attention mechanism Implementation for Keras.|
|Meta-Learning-Papers|2.1k|Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning|
|tacotron|2.1k|A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)|
|machinelearninginaction|2.1k|Source Code for the book: Machine Learning in Action published by Manning|
|BuildingMachineLearningSystemsWithPython|2.1k|Source Code for the book Building Machine Learning Systems with Python|
|CHINESE-OCR|2.1k|[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别|
|deepdetect|2.1k|Deep Learning API and Server in C++11 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost an…|
|XLM|2.1k|PyTorch original implementation of Cross-lingual Language Model Pretraining.|
|tensorflow-on-raspberry-pi|2.1k|TensorFlow for Raspberry Pi|
|decaNLP|2.1k|The Natural Language Decathlon: A Multitask Challenge for NLP|
|AlphaZero_Gomoku|2.1k|An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)|
|pytorch-beginner|2.1k|pytorch tutorial for beginners|
|tangent|2.1k|Source-to-Source Debuggable Derivatives in Pure Python|
|Person_reID_baseline_pytorch|2.1k|A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/…|
|mmlspark|2k|Microsoft Machine Learning for Apache Spark|
|FATE|2k|An Industrial Level Federated Learning Framework|
|text-to-image|2k|Text to image synthesis using thought vectors|
|pytorch-sentiment-analysis|2k|Tutorials on getting started with PyTorch and TorchText for sentiment analysis.|
|ELF|2k|An End-To-End, Lightweight and Flexible Platform for Game Research|
|catalyst|2k|Accelerated DL R&D|
|neuralcoref|2k|✨Fast Coreference Resolution in spaCy with Neural Networks|
|DeepRL-Agents|2k|A set of Deep Reinforcement Learning Agents implemented in Tensorflow.|
|RL-Adventure|2k|Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchic…|
|fe4ml-zh|2k|📖 [译] 面向机器学习的特征工程|
|lingvo|2k|Lingvo|
|pytorch-generative-model-collections|2k|Collection of generative models in Pytorch version.|
|ResNeSt|2k|ResNeSt: Split-Attention Networks|
|TensorFlow-Tutorials|2k|텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다|
|MUNIT|2k|Multimodal Unsupervised Image-to-Image Translation|
|oneDNN|2k|oneAPI Deep Neural Network Library (oneDNN)|
|deepvariant|2k|DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.|
|texar|2k|Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow|
|kaolin|2k|A PyTorch Library for Accelerating 3D Deep Learning Research|
|Clairvoyant|2k|Software designed to identify and monitor social/historical cues for short term stock movement|
|implicit|2k|Fast Python Collaborative Filtering for Implicit Feedback Datasets|
|DeepRL|2k|Modularized Implementation of Deep RL Algorithms in PyTorch|
|lgo|2k|Interactive Go programming with Jupyter|
|kcws|2k|Deep Learning Chinese Word Segment|
|tensorflow-build-archived|2k|TensorFlow binaries supporting AVX, FMA, SSE|
|dm_control|2k|DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.|
|gpytorch|2k|A highly efficient and modular implementation of Gaussian Processes in PyTorch|
|Neural-Photo-Editor|1.9k|A simple interface for editing natural photos with generative neural networks.|
|alpha-zero-general|1.9k|A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4|
|tacotron2|1.9k|Tacotron 2 - PyTorch implementation with faster-than-realtime inference|
|siamese-triplet|1.9k|Siamese and triplet networks with online pair/triplet mining in PyTorch|
|awesome-quant|1.9k|中国的Quant相关资源索引|
|image-super-resolution|1.9k|🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.|
|generative_inpainting|1.9k|DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral|
|code-of-learn-deep-learning-with-pytorch|1.9k|This is code of book "Learn Deep Learning with PyTorch"|
|gpt-2-simple|1.9k|Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts|
|DeepInterests|1.9k|深度有趣|
|segmentation_models.pytorch|1.9k|Segmentation models with pretrained backbones. PyTorch.|
|human-pose-estimation.pytorch|1.9k|The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(h…|
|BigGAN-PyTorch|1.9k|The author's officially unofficial PyTorch BigGAN implementation.|
|pytorch-playground|1.9k|Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)|
|bertviz|1.9k|Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)|
|face.evoLVe.PyTorch|1.9k|🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥|
|Reco-papers|1.8k|Classic papers and resources on recommendation|
|coach|1.8k|Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms|
|sling|1.8k|SLING - A natural language frame semantics parser|
|pytorch-deeplab-xception|1.8k|DeepLab v3+ model in PyTorch. Support different backbones.|
|mmskeleton|1.8k|A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.|
|sru|1.8k|Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)|
|pytorch-seq2seq|1.8k|Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.|
|Deep-Learning-Interview-Book|1.8k|深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）|
|pai|1.8k|Resource scheduling and cluster management for AI|
|AI-Blocks|1.8k|A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!|
|scikit-optimize|1.8k|Sequential model-based optimization with a scipy.optimize interface|
|sequence_tagging|1.8k|Named Entity Recognition (LSTM + CRF) - Tensorflow|
|zh-NER-TF|1.8k|A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)|
|donkeycar|1.8k|Open source hardware and software platform to build a small scale self driving car.|
|edge-connect|1.8k|EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212|
|awd-lstm-lm|1.7k|LSTM and QRNN Language Model Toolkit for PyTorch|
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|Bender|1.7k|Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.|
|zi2zi|1.7k|Learning Chinese Character style with conditional GAN|
|automl-gs|1.7k|Provide an input CSV and a target field to predict, generate a model + code to run it.|
|stats|1.7k|A well tested and comprehensive Golang statistics library package with no dependencies.|
|ranking|1.7k|Learning to Rank in TensorFlow|
|mathAI|1.7k|一个拍照做题程序。输入一张包含数学计算题的图片，输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.|
|spark-ml-source-analysis|1.7k|spark ml 算法原理剖析以及具体的源码实现分析|
|video-object-removal|1.7k|Just draw a bounding box and you can remove the object you want to remove.|
|datascience-pizza|1.7k|🍕 Repositório para juntar informações sobre materiais de estudo em análise de dados e áreas afins, empresas que trabalham com dados e dicionário de conceitos|
|data-science-interviews|1.7k|Data science interview questions and answers|
|yolov3-tf2|1.7k|YoloV3 Implemented in Tensorflow 2.0|
|ComputeLibrary|1.7k|The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies.|
|tacotron|1.7k|A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model|
|DeepLearn|1.7k|Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.|
|analytics-zoo|1.7k|Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray|
|PyTorch-NLP|1.7k|Basic Utilities for PyTorch Natural Language Processing (NLP)|
|captcha_break|1.7k|验证码识别|
|crnn|1.7k|Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.|
|DeblurGAN|1.7k|Image Deblurring using Generative Adversarial Networks|
|robosat|1.6k|Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds|
|pointnet2|1.6k|PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space|
|AutonomousDrivingCookbook|1.6k|Scenarios, tutorials and demos for Autonomous Driving|
|imgclsmob|1.6k|Sandbox for training convolutional networks for computer vision|
|tf_unet|1.6k|Generic U-Net Tensorflow implementation for image segmentation|
|torchsample|1.6k|High-Level Training, Data Augmentation, and Utilities for Pytorch|
|nlp|1.6k|🤗nlp – Datasets and evaluation metrics for Natural Language Processing in NumPy, Pandas, PyTorch and TensorFlow|
|hdbscan|1.6k|A high performance implementation of HDBSCAN clustering.|
|m2cgen|1.6k|Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby) with zero dependencies|
|fastNLP|1.6k|fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.|
|keras-yolo2|1.6k|Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).|
|Awesome-Chatbot|1.6k|Awesome Chatbot Projects,Corpus,Papers,Tutorials.Chinese Chatbot =>:|
|knockknock|1.6k|🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code|
|MTBook|1.6k|《机器翻译：统计建模与深度学习方法》肖桐 朱靖波 著 - Machine Translation: Statistical Modeling and Deep Learning Methods|
|trains|1.6k|TRAINS - Auto-Magical Experiment Manager & Version Control for AI - NOW WITH AUTO-MAGICAL DEVOPS!|
|self-driving-car|1.6k|Udacity Self-Driving Car Engineer Nanodegree projects.|
|cnn_captcha|1.6k|use cnn recognize captcha by tensorflow. 本项目针对字符型图片验证码，使用tensorflow实现卷积神经网络，进行验证码识别。|
|XLearning|1.6k|AI on Hadoop|
|Tacotron-2|1.6k|DeepMind's Tacotron-2 Tensorflow implementation|
|fast-wavenet|1.6k|Speedy Wavenet generation using dynamic programming ⚡|
|spacy-course|1.6k|👩🏫 Advanced NLP with spaCy: A free online course|
|gandissect|1.6k|Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/|
|NCRFpp|1.6k|NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.|
|stargan-v2|1.6k|StarGAN v2 - Official PyTorch Implementation (CVPR 2020)|
|tinyflow|1.6k|Tutorial code on how to build your own Deep Learning System in 2k Lines|
|UNIT|1.6k|Unsupervised Image-to-Image Translation|
|ssd_keras|1.6k|A Keras port of Single Shot MultiBox Detector|
|cosin|1.5k|🌲 春松客服，多渠道智能客服系统，开源客服系统|
|foolbox|1.5k|A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX|
|capsule-networks|1.5k|A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".|
|flogo|1.5k|Project Flogo is an open source ecosystem of opinionated event-driven capabilities to simplify building efficient & modern serverless functions, microservices & edge apps.|
|lip-reading-deeplearning|1.5k|🔓 Lip Reading - Cross Audio-Visual Recognition using 3D Architectures|
|hummingbird|1.5k|Hummingbird compiles trained ML models into tensor computation for faster inference.|
|deep-rl-tensorflow|1.5k|TensorFlow implementation of Deep Reinforcement Learning papers|
|practical-machine-learning-with-python|1.5k|Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.|
|NeuroNER|1.5k|Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.|
|wavenet_vocoder|1.5k|WaveNet vocoder|
|awesome-hand-pose-estimation|1.5k|Awesome work on hand pose estimation/tracking|
|mAP|1.5k|mean Average Precision - This code evaluates the performance of your neural net for object recognition.|
|agents|1.5k|TF-Agents is a library for Reinforcement Learning in TensorFlow|
|CADL|1.5k|ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL|
|tensorflow-DeepFM|1.5k|Tensorflow implementation of DeepFM for CTR prediction.|
|tensorflow-1.4-billion-password-analysis|1.5k|Deep Learning model to analyze a large corpus of clear text passwords.|
|DAT8|1.5k|General Assembly's 2015 Data Science course in Washington, DC|
|NeMo|1.5k|NeMo: a toolkit for conversational AI|
|Machine-Learning-Flappy-Bird|1.5k|Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm|
|ml-visuals|1.5k|Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.|
|GANimation|1.5k|GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]|
|EagleEye|1.5k|Stalk your Friends. Find their Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search.|
|PyTorch-Encoding|1.5k|A PyTorch CV Toolkit|
|spark|1.5k|.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.|
|quiver|1.5k|Interactive convnet features visualization for Keras|
|MachineLearning|1.5k|一些关于机器学习的学习资料与研究介绍|
|GAT|1.5k|Graph Attention Networks (https://arxiv.org/abs/1710.10903)|
|mt-dnn|1.4k|Multi-Task Deep Neural Networks for Natural Language Understanding|
|deep-neuroevolution|1.4k|Deep Neuroevolution|
|a-PyTorch-Tutorial-to-Object-Detection|1.4k|SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection|
|labelbox|1.4k|Labelbox is the fastest way to annotate data to build and ship computer vision applications.|
|openvino|1.4k|OpenVINO™ Toolkit repository|
|awesome-decision-tree-papers|1.4k|A collection of research papers on decision, classification and regression trees with implementations.|
|project_alias|1.4k|Alias is a teachable “parasite” that is designed to give users more control over their smart assistants, both when it comes to customisation and privacy. Through a simple app the user can train Alias to react on a custom wake-word/sound, and once trained, Alias can take control over your home assistant by activating it for you.|
|data-science-question-answer|1.4k|A repo for data science related questions and answers|
|photo2cartoon|1.4k|人像卡通化探索项目 (photo-to-cartoon translation project)|
|video2x|1.4k|A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018.|
|Tengine|1.4k|Tengine is a lite, high performance, modular inference engine for embedded device|
|cuml|1.4k|cuML - RAPIDS Machine Learning Library|
|BentoML|1.4k|Model Serving Made Easy|
|GANotebooks|1.4k|wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch|
|MobileNet|1.4k|MobileNet build with Tensorflow|
|CRAFT-pytorch|1.4k|Official implementation of Character Region Awareness for Text Detection (CRAFT)|
|mlr|1.4k|Machine Learning in R|
|monodepth2|1.4k|Monocular depth estimation from a single image|
|TensorKart|1.4k|self-driving MarioKart with TensorFlow|
|keras-contrib|1.4k|Keras community contributions|
|stellargraph|1.4k|StellarGraph - Machine Learning on Graphs|
|GDLnotes|1.4k|Google Deep Learning Notes（TensorFlow教程）|
|pydensecrf|1.4k|Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.|
|seldon-server|1.4k|Machine Learning Platform and Recommendation Engine built on Kubernetes|
|chainercv|1.4k|ChainerCV: a Library for Deep Learning in Computer Vision|
|tensorflow-nlp|1.4k|Building blocks for NLP and Text Generation in TensorFlow 2.x / 1.x|
|iOS_ML|1.4k|List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.|
|tfgo|1.4k|Tensorflow + Go, the gopher way|
|bi-att-flow|1.4k|Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.|
|CoreML-in-ARKit|1.4k|Simple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit project to use CoreML.|
|lightning|1.4k|Large-scale linear classification, regression and ranking in Python|
|DeepFace|1.4k|Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.|
|torch2trt|1.4k|An easy to use PyTorch to TensorRT converter|
|deepvoice3_pytorch|1.4k|PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models|
|sphereface|1.4k|Implementation for