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Top Deep Learning Projects\nA list of popular github projects related to deep learning (ranked by stars).\n\nLast Update: 2020.07.09\n| Project Name | Stars | Description |\n| ------- | ------ | ------ |\n|[tensorflow](https://github.com/tensorflow/tensorflow)|146k|An Open Source Machine Learning Framework for Everyone|\n|[keras](https://github.com/keras-team/keras)|48.9k|Deep Learning for humans|\n|[opencv](https://github.com/opencv/opencv)|46.1k|Open Source Computer Vision Library|\n|[pytorch](https://github.com/pytorch/pytorch)|40k|Tensors and Dynamic neural networks in Python with strong GPU acceleration|\n|[TensorFlow-Examples](https://github.com/aymericdamien/TensorFlow-Examples)|38.1k|TensorFlow Tutorial and Examples for Beginners (support TF v1 \u0026 v2)|\n|[tesseract](https://github.com/tesseract-ocr/tesseract)|35.3k|Tesseract Open Source OCR Engine (main repository)|\n|[face_recognition](https://github.com/ageitgey/face_recognition)|35.2k|The world's simplest facial recognition api for Python and the command line|\n|[faceswap](https://github.com/deepfakes/faceswap)|31.4k|Deepfakes Software For All|\n|[transformers](https://github.com/huggingface/transformers)|30.4k|🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.|\n|[100-Days-Of-ML-Code](https://github.com/Avik-Jain/100-Days-Of-ML-Code)|29.1k|100 Days of ML Coding|\n|[julia](https://github.com/JuliaLang/julia)|28.1k|The Julia Language: A fresh approach to technical computing.|\n|[gold-miner](https://github.com/xitu/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：|\n|[awesome-scalability](https://github.com/binhnguyennus/awesome-scalability)|26.6k|The Patterns of Scalable, Reliable, and Performant Large-Scale Systems|\n|[basics](https://github.com/madewithml/basics)|24.5k|📚 Learn ML with clean code, simplified math and illustrative visuals.|\n|[bert](https://github.com/google-research/bert)|23.9k|TensorFlow code and pre-trained models for BERT|\n|[funNLP](https://github.com/fighting41love/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…|\n|[xgboost](https://github.com/dmlc/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|\n|[Real-Time-Voice-Cloning](https://github.com/CorentinJ/Real-Time-Voice-Cloning)|18.4k|Clone a voice in 5 seconds to generate arbitrary speech in real-time|\n|[d2l-zh](https://github.com/d2l-ai/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。|\n|[openpose](https://github.com/CMU-Perceptual-Computing-Lab/openpose)|17.8k|OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation|\n|[Coursera-ML-AndrewNg-Notes](https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes)|17.7k|吴恩达老师的机器学习课程个人笔记|\n|[DeepFaceLab](https://github.com/iperov/DeepFaceLab)|17.3k|DeepFaceLab is the leading software for creating deepfakes.|\n|[pytorch-tutorial](https://github.com/yunjey/pytorch-tutorial)|17.3k|PyTorch Tutorial for Deep Learning Researchers|\n|[Mask_RCNN](https://github.com/matterport/Mask_RCNN)|17.2k|Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow|\n|[spaCy](https://github.com/explosion/spaCy)|16.8k|💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython|\n|[NLP-progress](https://github.com/sebastianruder/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.|\n|[100-Days-Of-ML-Code](https://github.com/MLEveryday/100-Days-Of-ML-Code)|15.6k|100-Days-Of-ML-Code中文版|\n|[cs-video-courses](https://github.com/Developer-Y/cs-video-courses)|14.9k|List of Computer Science courses with video lectures.|\n|[WaveFunctionCollapse](https://github.com/mxgmn/WaveFunctionCollapse)|14.7k|Bitmap \u0026 tilemap generation from a single example with the help of ideas from quantum mechanics.|\n|[lectures](https://github.com/oxford-cs-deepnlp-2017/lectures)|14.7k|Oxford Deep NLP 2017 course|\n|[reinforcement-learning](https://github.com/dennybritz/reinforcement-learning)|14.7k|Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accom…|\n|[pwc](https://github.com/zziz/pwc)|14.7k|Papers with code. Sorted by stars. Updated weekly.|\n|[TensorFlow-Course](https://github.com/machinelearningmindset/TensorFlow-Course)|14.6k|Simple and ready-to-use tutorials for TensorFlow|\n|[DeepSpeech](https://github.com/mozilla/DeepSpeech)|14.4k|A TensorFlow implementation of Baidu's DeepSpeech architecture|\n|[pumpkin-book](https://github.com/datawhalechina/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|\n|[tfjs](https://github.com/tensorflow/tfjs)|13.5k|A WebGL accelerated JavaScript library for training and deploying ML models.|\n|[examples](https://github.com/pytorch/examples)|13.5k|A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.|\n|[openface](https://github.com/cmusatyalab/openface)|13.5k|Face recognition with deep neural networks.|\n|[Qix](https://github.com/ty4z2008/Qix)|13.3k|Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang|\n|[spleeter](https://github.com/deezer/spleeter)|12.7k|Deezer source separation library including pretrained models.|\n|[Virgilio](https://github.com/virgili0/Virgilio)|12.7k|Your new Mentor for Data Science E-Learning.|\n|[nndl.github.io](https://github.com/nndl/nndl.github.io)|12.7k|《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning|\n|[Screenshot-to-code](https://github.com/emilwallner/Screenshot-to-code)|12.7k|A neural network that transforms a design mock-up into a static website.|\n|[pytorch-CycleGAN-and-pix2pix](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix)|12.4k|Image-to-Image Translation in PyTorch|\n|[pytorch-handbook](https://github.com/zergtant/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|\n|[gun](https://github.com/amark/gun)|11.9k|An open source cybersecurity protocol for syncing decentralized graph data.|\n|[Paddle](https://github.com/PaddlePaddle/Paddle)|11.8k|PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习\u0026机器学习高性能单机、分布式训…|\n|[tensorflow-zh](https://github.com/jikexueyuanwiki/tensorflow-zh)|11.8k|谷歌全新开源人工智能系统TensorFlow官方文档中文版|\n|[darknet](https://github.com/AlexeyAB/darknet)|11.4k|YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )|\n|[learnopencv](https://github.com/spmallick/learnopencv)|11.4k|Learn OpenCV : C++ and Python Examples|\n|[neural-networks-and-deep-learning](https://github.com/mnielsen/neural-networks-and-deep-learning)|11.3k|Code samples for my book \"Neural Networks and Deep Learning\"|\n|[google-research](https://github.com/google-research/google-research)|11.2k|Google Research|\n|[labelImg](https://github.com/tzutalin/labelImg)|11.2k|🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images|\n|[gensim](https://github.com/RaRe-Technologies/gensim)|11k|Topic Modelling for Humans|\n|[pix2code](https://github.com/tonybeltramelli/pix2code)|10.9k|pix2code: Generating Code from a Graphical User Interface Screenshot|\n|[facenet](https://github.com/davidsandberg/facenet)|10.8k|Face recognition using Tensorflow|\n|[DeOldify](https://github.com/jantic/DeOldify)|10.7k|A Deep Learning based project for colorizing and restoring old images (and video!)|\n|[python-machine-learning-book](https://github.com/rasbt/python-machine-learning-book)|10.7k|The \"Python Machine Learning (1st edition)\" book code repository and info resource|\n|[stanford-cs-229-machine-learning](https://github.com/afshinea/stanford-cs-229-machine-learning)|10.6k|VIP cheatsheets for Stanford's CS 229 Machine Learning|\n|[mmdetection](https://github.com/open-mmlab/mmdetection)|10.5k|OpenMMLab Detection Toolbox and Benchmark|\n|[face-api.js](https://github.com/justadudewhohacks/face-api.js)|10.4k|JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js|\n|[Awesome-pytorch-list](https://github.com/bharathgs/Awesome-pytorch-list)|10.4k|A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,t…|\n|[nsfw_data_scraper](https://github.com/alex000kim/nsfw_data_scraper)|10.2k|Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier|\n|[convnetjs](https://github.com/karpathy/convnetjs)|10k|Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.|\n|[CycleGAN](https://github.com/junyanz/CycleGAN)|9.8k|Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.|\n|[streamlit](https://github.com/streamlit/streamlit)|9.8k|Streamlit — The fastest way to build data apps in Python|\n|[DeepCreamPy](https://github.com/deeppomf/DeepCreamPy)|9.7k|Decensoring Hentai with Deep Neural Networks|\n|[stylegan](https://github.com/NVlabs/stylegan)|9.7k|StyleGAN - Official TensorFlow Implementation|\n|[Dive-into-DL-PyTorch](https://github.com/ShusenTang/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。|\n|[stanford-tensorflow-tutorials](https://github.com/chiphuyen/stanford-tensorflow-tutorials)|9.6k|This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.|\n|[horovod](https://github.com/horovod/horovod)|9.6k|Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.|\n|[Deep-Learning-with-TensorFlow-book](https://github.com/dragen1860/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.|\n|[neural-doodle](https://github.com/alexjc/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.)|\n|[caire](https://github.com/esimov/caire)|9.3k|Content aware image resize library|\n|[fast-style-transfer](https://github.com/lengstrom/fast-style-transfer)|9.2k|TensorFlow CNN for fast style transfer ⚡🖥🎨🖼|\n|[ncnn](https://github.com/Tencent/ncnn)|9.2k|ncnn is a high-performance neural network inference framework optimized for the mobile platform|\n|[kubeflow](https://github.com/kubeflow/kubeflow)|9.1k|Machine Learning Toolkit for Kubernetes|\n|[nltk](https://github.com/nltk/nltk)|9k|NLTK Source|\n|[flair](https://github.com/flairNLP/flair)|9k|A very simple framework for state-of-the-art Natural Language Processing (NLP)|\n|[ml-agents](https://github.com/Unity-Technologies/ml-agents)|9k|Unity Machine Learning Agents Toolkit|\n|[allennlp](https://github.com/allenai/allennlp)|8.8k|An open-source NLP research library, built on PyTorch.|\n|[botpress](https://github.com/botpress/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.|\n|[the-gan-zoo](https://github.com/hindupuravinash/the-gan-zoo)|8.7k|A list of all named GANs!|\n|[EffectiveTensorflow](https://github.com/vahidk/EffectiveTensorflow)|8.6k|TensorFlow tutorials and best practices.|\n|[tfjs-core](https://github.com/tensorflow/tfjs-core)|8.5k|WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.|\n|[fairseq](https://github.com/pytorch/fairseq)|8.4k|Facebook AI Research Sequence-to-Sequence Toolkit written in Python.|\n|[sonnet](https://github.com/deepmind/sonnet)|8.4k|TensorFlow-based neural network library|\n|[mit-deep-learning-book-pdf](https://github.com/janishar/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|\n|[TensorFlow-Tutorials](https://github.com/Hvass-Labs/TensorFlow-Tutorials)|8.3k|TensorFlow Tutorials with YouTube Videos|\n|[pytorch_geometric](https://github.com/rusty1s/pytorch_geometric)|8.2k|Geometric Deep Learning Extension Library for PyTorch|\n|[tutorials](https://github.com/MorvanZhou/tutorials)|8.2k|机器学习相关教程|\n|[fashion-mnist](https://github.com/zalandoresearch/fashion-mnist)|8k|A MNIST-like fashion product database. Benchmark 👉|\n|[bert-as-service](https://github.com/hanxiao/bert-as-service)|7.9k|Mapping a variable-length sentence to a fixed-length vector using BERT model|\n|[pix2pix](https://github.com/phillipi/pix2pix)|7.8k|Image-to-image translation with conditional adversarial nets|\n|[mediapipe](https://github.com/google/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.|\n|[recommenders](https://github.com/microsoft/recommenders)|7.7k|Best Practices on Recommendation Systems|\n|[mit-deep-learning](https://github.com/lexfridman/mit-deep-learning)|7.7k|Tutorials, assignments, and competitions for MIT Deep Learning related courses.|\n|[pytorch-book](https://github.com/chenyuntc/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》)|\n|[Winds](https://github.com/GetStream/Winds)|7.6k|A Beautiful Open Source RSS \u0026 Podcast App Powered by Getstream.io|\n|[vid2vid](https://github.com/NVIDIA/vid2vid)|7.4k|Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.|\n|[Learn_Machine_Learning_in_3_Months](https://github.com/llSourcell/Learn_Machine_Learning_in_3_Months)|7.3k|This is the code for \"Learn Machine Learning in 3 Months\" by Siraj Raval on Youtube|\n|[golearn](https://github.com/sjwhitworth/golearn)|7.3k|Machine Learning for Go|\n|[Keras-GAN](https://github.com/eriklindernoren/Keras-GAN)|7.2k|Keras implementations of Generative Adversarial Networks.|\n|[mlcourse.ai](https://github.com/Yorko/mlcourse.ai)|7k|Open Machine Learning Course|\n|[faceai](https://github.com/vipstone/faceai)|7k|一款入门级的人脸、视频、文字检测以及识别的项目.|\n|[pysc2](https://github.com/deepmind/pysc2)|6.9k|StarCraft II Learning Environment|\n|[pretrained-models.pytorch](https://github.com/Cadene/pretrained-models.pytorch)|6.9k|Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.|\n|[PyTorch-GAN](https://github.com/eriklindernoren/PyTorch-GAN)|6.7k|PyTorch implementations of Generative Adversarial Networks.|\n|[vision](https://github.com/pytorch/vision)|6.7k|Datasets, Transforms and Models specific to Computer Vision|\n|[nlp-tutorial](https://github.com/graykode/nlp-tutorial)|6.6k|Natural Language Processing Tutorial for Deep Learning Researchers|\n|[bullet3](https://github.com/bulletphysics/bullet3)|6.6k|Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics,|\n|[DCGAN-tensorflow](https://github.com/carpedm20/DCGAN-tensorflow)|6.6k|A tensorflow implementation of \"Deep Convolutional Generative Adversarial Networks\"|\n|[tfjs-models](https://github.com/tensorflow/tfjs-models)|6.5k|Pretrained models for TensorFlow.js|\n|[abu](https://github.com/bbfamily/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|\n|[pytorch-lightning](https://github.com/PyTorchLightning/pytorch-lightning)|6.5k|The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate|\n|[tensorboardX](https://github.com/lanpa/tensorboardX)|6.4k|tensorboard for pytorch (and chainer, mxnet, numpy, ...)|\n|[machine-learning-course](https://github.com/machinelearningmindset/machine-learning-course)|6.4k|💬 Machine Learning Course with Python:|\n|[guess](https://github.com/guess-js/guess)|6.3k|🔮 Libraries \u0026 tools for enabling Machine Learning driven user-experiences on the web|\n|[pyro](https://github.com/pyro-ppl/pyro)|6.3k|Deep universal probabilistic programming with Python and PyTorch|\n|[lab](https://github.com/deepmind/lab)|6.2k|A customisable 3D platform for agent-based AI research|\n|[mml-book.github.io](https://github.com/mml-book/mml-book.github.io)|6.2k|Companion webpage to the book \"Mathematics For Machine Learning\"|\n|[Interview](https://github.com/apachecn/Interview)|6.2k|Interview = 简历指南 + LeetCode + Kaggle|\n|[tensorlayer](https://github.com/tensorlayer/tensorlayer)|6.2k|Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥|\n|[generative-models](https://github.com/wiseodd/generative-models)|6.1k|Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.|\n|[machine-learning-yearning-cn](https://github.com/deeplearning-ai/machine-learning-yearning-cn)|6.1k|Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著|\n|[keras-yolo3](https://github.com/qqwweee/keras-yolo3)|6k|A Keras implementation of YOLOv3 (Tensorflow backend)|\n|[BossSensor](https://github.com/Hironsan/BossSensor)|5.9k|Hide screen when boss is approaching.|\n|[tensorflow2_tutorials_chinese](https://github.com/czy36mengfei/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|\n|[TensorFlow-Tutorials](https://github.com/nlintz/TensorFlow-Tutorials)|5.9k|Simple tutorials using Google's TensorFlow Framework|\n|[argo](https://github.com/argoproj/argo)|5.9k|Argo Workflows: Get stuff done with Kubernetes.|\n|[python-machine-learning-book-2nd-edition](https://github.com/rasbt/python-machine-learning-book-2nd-edition)|5.8k|The \"Python Machine Learning (2nd edition)\" book code repository and info resource|\n|[dvc](https://github.com/iterative/dvc)|5.7k|🦉Data Version Control | Git for Data \u0026 Models|\n|[EasyPR](https://github.com/liuruoze/EasyPR)|5.7k|An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.|\n|[AdversarialNetsPapers](https://github.com/zhangqianhui/AdversarialNetsPapers)|5.6k|The classical paper list with code about generative adversarial nets|\n|[tensorpack](https://github.com/tensorpack/tensorpack)|5.6k|A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility|\n|[photoprism](https://github.com/photoprism/photoprism)|5.6k|Personal Photo Management powered by Go and Google TensorFlow|\n|[tensorflow_cookbook](https://github.com/nfmcclure/tensorflow_cookbook)|5.6k|Code for Tensorflow Machine Learning Cookbook|\n|[albumentations](https://github.com/albumentations-team/albumentations)|5.6k|fast image augmentation library and easy to use wrapper around other libraries|\n|[swift](https://github.com/tensorflow/swift)|5.6k|Swift for TensorFlow|\n|[darkflow](https://github.com/thtrieu/darkflow)|5.6k|Translate darknet to tensorflow. 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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|\n|[text](https://github.com/pytorch/text)|2.4k|Data loaders and abstractions for text and NLP|\n|[ALAE](https://github.com/podgorskiy/ALAE)|2.4k|[CVPR2020] Adversarial Latent Autoencoders|\n|[pytorch-summary](https://github.com/sksq96/pytorch-summary)|2.4k|Model summary in PyTorch similar to `model.summary()` in Keras|\n|[pytorch-doc-zh](https://github.com/apachecn/pytorch-doc-zh)|2.4k|Pytorch 中文文档|\n|[Deep_reinforcement_learning_Course](https://github.com/simoninithomas/Deep_reinforcement_learning_Course)|2.4k|Implementations from the free course Deep Reinforcement Learning with Tensorflow|\n|[ML-Tutorial-Experiment](https://github.com/jiqizhixin/ML-Tutorial-Experiment)|2.4k|Coding the Machine Learning Tutorial for Learning to Learn|\n|[pytorch-Deep-Learning](https://github.com/Atcold/pytorch-Deep-Learning)|2.4k|Deep Learning (with PyTorch)|\n|[models](https://github.com/onnx/models)|2.4k|A collection of pre-trained, state-of-the-art models 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Extracts features such as: buildings, parking lots, roads, water, clouds|\n|[pointnet2](https://github.com/charlesq34/pointnet2)|1.6k|PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space|\n|[AutonomousDrivingCookbook](https://github.com/microsoft/AutonomousDrivingCookbook)|1.6k|Scenarios, tutorials and demos for Autonomous Driving|\n|[imgclsmob](https://github.com/osmr/imgclsmob)|1.6k|Sandbox for training convolutional networks for computer vision|\n|[tf_unet](https://github.com/jakeret/tf_unet)|1.6k|Generic U-Net Tensorflow implementation for image segmentation|\n|[torchsample](https://github.com/ncullen93/torchsample)|1.6k|High-Level Training, Data Augmentation, and Utilities for Pytorch|\n|[nlp](https://github.com/huggingface/nlp)|1.6k|🤗nlp – Datasets and evaluation metrics for Natural Language Processing in NumPy, Pandas, PyTorch and TensorFlow|\n|[hdbscan](https://github.com/scikit-learn-contrib/hdbscan)|1.6k|A high performance implementation of HDBSCAN clustering.|\n|[m2cgen](https://github.com/BayesWitnesses/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|\n|[fastNLP](https://github.com/fastnlp/fastNLP)|1.6k|fastNLP: A Modularized and Extensible NLP Framework. 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Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). 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The most recent version of this article can be found on my blog.|\n|[tfgo](https://github.com/galeone/tfgo)|1.4k|Tensorflow + Go, the gopher way|\n|[bi-att-flow](https://github.com/allenai/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.|\n|[CoreML-in-ARKit](https://github.com/hanleyweng/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.|\n|[lightning](https://github.com/scikit-learn-contrib/lightning)|1.4k|Large-scale linear classification, regression and ranking in Python|\n|[DeepFace](https://github.com/RiweiChen/DeepFace)|1.4k|Face analysis mainly based on Caffe. 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This project is only for training the model.|\n|[anago](https://github.com/Hironsan/anago)|1.3k|Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.|\n|[mne-python](https://github.com/mne-tools/mne-python)|1.3k|MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python|\n|[eos](https://github.com/patrikhuber/eos)|1.3k|A lightweight 3D Morphable Face Model fitting library in modern C++14|\n|[ngraph](https://github.com/NervanaSystems/ngraph)|1.3k|nGraph - open source C++ library, compiler and runtime for Deep Learning|\n|[NSFWDetector](https://github.com/lovoo/NSFWDetector)|1.3k|A NSFW (aka porn) detector with CoreML|\n|[open_nsfw_android](https://github.com/devzwy/open_nsfw_android)|1.3k|🔥🔥🔥色情图片离线识别，基于TensorFlow实现。识别只需20ms,可断网测试，成功率99%，调用只要一行代码，从雅虎的开源项目open_nsfw移植，该模型文件可用于iOS、java、C++等平台|\n|[cs230-code-examples](https://github.com/cs230-stanford/cs230-code-examples)|1.3k|Code examples in pyTorch and Tensorflow for CS230|\n|[pytorch-generative-adversarial-networks](https://github.com/devnag/pytorch-generative-adversarial-networks)|1.3k|A very simple generative adversarial network (GAN) in PyTorch|\n|[forecasting](https://github.com/microsoft/forecasting)|1.3k|Time Series Forecasting Best Practices \u0026 Examples|\n|[VIBE](https://github.com/mkocabas/VIBE)|1.3k|Official implementation of CVPR2020 paper \"VIBE: Video Inference for Human Body Pose and Shape Estimation\"|\n|[bulbea](https://github.com/achillesrasquinha/bulbea)|1.3k|🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling|\n|[electra](https://github.com/google-research/electra)|1.3k|ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators|\n|[scattertext](https://github.com/JasonKessler/scattertext)|1.3k|Beautiful visualizations of how language differs among document types.|\n|[talos](https://github.com/autonomio/talos)|1.3k|Hyperparameter Optimization for TensorFlow, Keras and PyTorch|\n|[practicalAI-cn](https://github.com/MLEveryday/practicalAI-cn)|1.3k|AI实战-practicalAI 中文版|\n|[impersonator](https://github.com/svip-lab/impersonator)|1.3k|PyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis|\n|[gluon-ts](https://github.com/awslabs/gluon-ts)|1.3k|Probabilistic time series modeling in Python|\n|[dcgan-completion.tensorflow](https://github.com/bamos/dcgan-completion.tensorflow)|1.3k|Image Completion with Deep Learning in TensorFlow|\n|[EfficientDet.Pytorch](https://github.com/toandaominh1997/EfficientDet.Pytorch)|1.3k|Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch|\n|[NeuronBlocks](https://github.com/microsoft/NeuronBlocks)|1.3k|NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego|\n|[yolo2-pytorch](https://github.com/longcw/yolo2-pytorch)|1.3k|YOLOv2 in PyTorch|\n|[EmojiIntelligence](https://github.com/BilalReffas/EmojiIntelligence)|1.3k|Neural Network built in Apple Playground using Swift|\n|[efficientnet](https://github.com/qubvel/efficientnet)|1.3k|Implementation of EfficientNet model. Keras and TensorFlow Keras.|\n|[YOLOv3_TensorFlow](https://github.com/wizyoung/YOLOv3_TensorFlow)|1.3k|Complete YOLO v3 TensorFlow implementation. 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