Here's a list of top 200 deep learning Github repositories sorted by the number of stars. The query that has been used with Github search API is:
deep-learning OR CNN OR RNN OR "convolutional neural network" OR "recurrent neural network"
Trending deep learning Github repositories can be found here.
Date: 06-26-2019 compared to 04-02-2019
Hint: This will be updated regularly.
| Pos | Name | Description | Language | Stars | Forks | |
|---|---|---|---|---|---|---|
| ➖ | 1 | tensorflow | An Open Source Machine Learning Framework for Everyone | C++ | 129953 | 75713 |
| ➖ | 2 | keras | Deep Learning for humans | Python | 42234 | 16091 |
| ➖ | 3 | opencv | Open Source Computer Vision Library | C++ | 35958 | 26290 |
| ➖ | 4 | TensorFlow-Examples | TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) | Jupyter Notebook | 32306 | 12231 |
| ⬆️1 | 5 | pytorch | Tensors and Dynamic neural networks in Python with strong GPU acceleration | C++ | 29317 | 7090 |
| ⬇️1 | 6 | caffe | Caffe: a fast open framework for deep learning. | C++ | 28396 | 17152 |
| ⬆️1 | 7 | DeepLearning-500-questions | 深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06 | None | 26646 | 7725 |
| ⬇️1 | 8 | deeplearningbook-chinese | Deep Learning Book Chinese Translation | TeX | 25121 | 7320 |
| ⬆️2 | 9 | Algorithm_Interview_Notes-Chinese | 2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记 | Python | 24082 | 7399 |
| ⬇️1 | 10 | Deep-Learning-Papers-Reading-Roadmap | Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech! | Python | 23277 | 5290 |
| ⬇️1 | 11 | machine-learning-for-software-engineers | A complete daily plan for studying to become a machine learning engineer. | None | 22031 | 5007 |
| ➖ | 12 | Detectron | FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet. | Python | 20836 | 4469 |
| 🆕 | 13 | faceswap | Non official project based on original /r/Deepfakes thread. Many thanks to him! | Python | 19735 | 6554 |
| ⬇️1 | 14 | awesome-deep-learning-papers | The most cited deep learning papers | TeX | 19164 | 3695 |
| ⬇️1 | 15 | practicalAI | 📚 A practical approach to machine learning. | Jupyter Notebook | 18538 | 3219 |
| ⬇️1 | 16 | incubator-mxnet | Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more | C++ | 17220 | 6126 |
| 🆕 | 17 | CNTK | Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit | C++ | 16234 | 4311 |
| ⬇️1 | 18 | data-science-ipython-notebooks | Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. | Python | 15892 | 4856 |
| 🆕 | 19 | AiLearning | AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP | Python | 15764 | 5565 |
| ⬇️1 | 20 | handson-ml | A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow. | Jupyter Notebook | 15479 | 8250 |
| ⬇️1 | 21 | fastai | The fastai deep learning library, plus lessons and tutorials | Jupyter Notebook | 14282 | 5140 |
| ⬇️4 | 22 | lectures | Oxford Deep NLP 2017 course | None | 13929 | 3295 |
| ⬇️1 | 23 | darknet | Convolutional Neural Networks | C | 13726 | 8087 |
| ⬇️3 | 24 | spaCy | 💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython | Python | 13658 | 2349 |
| ⬇️1 | 25 | openpose | OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation | C++ | 13285 | 3694 |
| ⬆️1 | 26 | awesome-deep-learning | A curated list of awesome Deep Learning tutorials, projects and communities. | None | 12846 | 4060 |
| ⬆️3 | 27 | Mask_RCNN | Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow | Python | 12672 | 5612 |
| ⬇️5 | 28 | Qix | Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang | None | 12657 | 4680 |
| 🆕 | 29 | TensorFlow-Course | Simple and ready-to-use tutorials for TensorFlow | Python | 12343 | 2338 |
| ⬇️4 | 30 | cheatsheets-ai | Essential Cheat Sheets for deep learning and machine learning researchers | None | 12341 | 2952 |
| ⬇️6 | 31 | openface | Face recognition with deep neural networks. | Lua | 12265 | 3004 |
| 🆕 | 32 | pytorch-tutorial | PyTorch Tutorial for Deep Learning Researchers | Python | 12028 | 3688 |
| ⬆️2 | 33 | 100-Days-Of-ML-Code | 100-Days-Of-ML-Code中文版 | Jupyter Notebook | 11678 | 3117 |
| ⬇️6 | 34 | Screenshot-to-code | A neural network that transforms a design mock-up into a static website | HTML | 11667 | 1122 |
| ⬇️6 | 35 | ML-From-Scratch | Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning. | Python | 11643 | 2096 |
| 🆕 | 36 | tfjs | A WebGL accelerated JavaScript library for training and deploying ML models. | TypeScript | 11113 | 804 |
| 🆕 | 37 | deeplearning4j | Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark | Java | 10931 | 4691 |
| ⬇️6 | 38 | DeepSpeech | A TensorFlow implementation of Baidu's DeepSpeech architecture | C++ | 10493 | 1938 |
| 🆕 | 39 | pix2code | pix2code: Generating Code from a Graphical User Interface Screenshot | Python | 10271 | 1058 |
| ⬇️7 | 40 | awesome-datascience | 📝 An awesome Data Science repository to learn and apply for real world problems. | None | 10026 | 2978 |
| ⬇️7 | 41 | convnetjs | Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser. | JavaScript | 9721 | 1938 |
| 🆕 | 42 | FastPhotoStyle | Style transfer, deep learning, feature transform | Python | 9687 | 938 |
| ⬆️21 | 43 | d2l-zh | 《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（STAT 157）”教材。 | Python | 9534 | 2424 |
| 🆕 | 44 | char-rnn | Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch | Lua | 9476 | 2293 |
| ⬇️6 | 45 | neural-networks-and-deep-learning | Code samples for my book "Neural Networks and Deep Learning" | Python | 9442 | 4610 |
| ⬇️10 | 46 | dive-into-machine-learning | Dive into Machine Learning with Python Jupyter notebook and scikit-learn! | None | 9402 | 1729 |
| ⬇️10 | 47 | neural-enhance | Super Resolution for images using deep learning. | Python | 9298 | 1009 |
| ⬇️8 | 48 | Machine-Learning-Tutorials | machine learning and deep learning tutorials, articles and other resources | None | 9176 | 2762 |
| ⬇️11 | 49 | tflearn | Deep learning library featuring a higher-level API for TensorFlow. | Python | 9131 | 2305 |
| ⬇️7 | 50 | Paddle | PArallel Distributed Deep LEarning （『飞桨』核心框架，高性能单机、分布式训练和跨平台部署） | C++ | 9072 | 2451 |
| 🆕 | 51 | turicreate | Turi Create simplifies the development of custom machine learning models. | C++ | 8722 | 852 |
| ⬇️8 | 52 | stanford-tensorflow-tutorials | This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research. | Python | 8672 | 3989 |
| 🆕 | 53 | CycleGAN | Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more. | Lua | 8591 | 1397 |
| ⬆️7 | 54 | stanford-cs-229-machine-learning | VIP cheatsheets for Stanford's CS 229 Machine Learning | None | 8531 | 2011 |
| 🆕 | 55 | pytorch-CycleGAN-and-pix2pix | Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more) | Python | 8529 | 2303 |
| ⬇️10 | 56 | awesome-nlp | 📖 A curated list of resources dedicated to Natural Language Processing (NLP) | None | 8516 | 1546 |
| ⬇️15 | 57 | tfjs-core | WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript. | TypeScript | 8493 | 960 |
| ⬇️17 | 58 | caffe2 | Caffe2 is a lightweight, modular, and scalable deep learning framework. | Shell | 8453 | 2127 |
| ⬇️11 | 59 | facenet | Face recognition using Tensorflow | Python | 8435 | 3504 |
| 🆕 | 60 | nndl.github.io | 《神经网络与深度学习》 Neural Network and Deep Learning | HTML | 8412 | 1816 |
| 🆕 | 61 | EffectiveTensorflow | TensorFlow 1.x and 2.x tutorials and best practices. | None | 8391 | 937 |
| ⬇️17 | 62 | awesome-deep-vision | A curated list of deep learning resources for computer vision | None | 8289 | 2424 |
| ➖ | 63 | tensor2tensor | Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. | Python | 8180 | 2084 |
| ⬇️17 | 64 | fast-style-transfer | TensorFlow CNN for fast style transfer ⚡🖥🎨🖼 | Python | 8026 | 1931 |
| ⬇️16 | 65 | DeepCreamPy | Decensoring Hentai with Deep Neural Networks | Python | 8022 | 818 |
| 🆕 | 66 | deeplearning-models | A collection of various deep learning architectures, models, and tips | Jupyter Notebook | 7797 | 1570 |
| ⬆️1 | 67 | ray | A fast and simple framework for building and running distributed applications. | Python | 7747 | 1069 |
| 🆕 | 68 | sonnet | TensorFlow-based neural network library | Python | 7679 | 1084 |
| ⬇️7 | 69 | MLAlgorithms | Minimal and clean examples of machine learning algorithms implementations | Python | 7513 | 1289 |
| ⬇️4 | 70 | dlib | A toolkit for making real world machine learning and data analysis applications in C++ | C++ | 7453 | 2220 |
| ⬇️2 | 71 | labelImg | 🤘 LabelImg is a graphical image annotation tool and label object bounding boxes in images | Python | 7389 | 2551 |
| ⬇️1 | 72 | deep-learning-with-python-notebooks | Jupyter notebooks for the code samples of the book "Deep Learning with Python" | Jupyter Notebook | 7287 | 3433 |
| ⬇️6 | 73 | TensorFlow-Tutorials | TensorFlow Tutorials with YouTube Videos | Jupyter Notebook | 7260 | 3550 |
| ➖ | 74 | Awesome-pytorch-list | A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc. | None | 7162 | 1560 |
| ⬇️5 | 75 | libfacedetection | An open source library for face detection in images. The face detection speed can reach 1500FPS. | C++ | 7084 | 1965 |
| ⬆️6 | 76 | DeOldify | A Deep Learning based project for colorizing and restoring old images (and video!) | Jupyter Notebook | 6791 | 662 |
| ⬇️1 | 77 | horovod | Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. | C++ | 6728 | 987 |
| ⬆️6 | 78 | learnopencv | Learn OpenCV : C++ and Python Examples | Jupyter Notebook | 6718 | 4337 |
| ⬇️7 | 79 | conv_arithmetic | A technical report on convolution arithmetic in the context of deep learning | TeX | 6708 | 1322 |
| ⬇️5 | 80 | ncnn | ncnn is a high-performance neural network inference framework optimized for the mobile platform | C++ | 6654 | 1757 |
| ⬇️4 | 81 | allennlp | An open-source NLP research library, built on PyTorch. | Python | 6518 | 1321 |
| ⬇️4 | 82 | onnx | Open Neural Network Exchange | PureBasic | 6335 | 972 |
| ⬇️10 | 83 | pix2pix | Image-to-image translation with conditional adversarial nets | Lua | 6257 | 1029 |
| ⬇️5 | 84 | mit-deep-learning-book-pdf | MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville | Java | 6254 | 1525 |
| ➖ | 85 | imgaug | Image augmentation for machine learning experiments. | Python | 6220 | 1258 |
| ⬇️3 | 86 | ml-agents | Unity Machine Learning Agents Toolkit | C# | 6026 | 1547 |
| ➖ | 87 | fashion-mnist | A MNIST-like fashion product database. Benchmark 👉 | Python | 5989 | 1140 |
| ⬇️8 | 88 | py-faster-rcnn | Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version | Python | 5875 | 3623 |
| 🆕 | 89 | lab | A customisable 3D platform for agent-based AI research | C | 5831 | 1153 |
| ⬆️49 | 90 | pytorch-handbook | 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 | Jupyter Notebook | 5678 | 1477 |
| 🆕 | 91 | ludwig | Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code. | Python | 4882 | 514 |
| 🆕 | 92 | chainer | A flexible framework of neural networks for deep learning | Python | 4868 | 1290 |
| 🆕 | 93 | deep-residual-networks | Deep Residual Learning for Image Recognition | None | 4847 | 1928 |
| 🆕 | 94 | text_classification | all kinds of text classification models and more with deep learning | Python | 4826 | 1867 |
| ⬆️38 | 95 | netron | Visualizer for deep learning and machine learning models | JavaScript | 4812 | 554 |
| 🆕 | 96 | darkflow | Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices | Python | 4807 | 1691 |
| 🆕 | 97 | tensorflow_cookbook | Code for Tensorflow Machine Learning Cookbook | Jupyter Notebook | 4803 | 2148 |
| 🆕 | 98 | AdversarialNetsPapers | The classical paper list with code about generative adversarial nets | None | 4782 | 1692 |
| 🆕 | 99 | tiny-dnn | header only, dependency-free deep learning framework in C++14 | C++ | 4780 | 1251 |
| 🆕 | 100 | awesome-artificial-intelligence | A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers | None | 4736 | 996 |
| 🆕 | 101 | keras-js | Run Keras models in the browser, with GPU support using WebGL | JavaScript | 4547 | 479 |
| 🆕 | 102 | TopDeepLearning | A list of popular github projects related to deep learning | None | 4518 | 862 |
| 🆕 | 103 | TensorFlow-World | 🌎 Simple and ready-to-use tutorials for TensorFlow | Python | 4405 | 409 |
| 🆕 | 104 | paddle-mobile | Multi-platform embedded deep learning framework (『飞桨』多平台高性能嵌入式深度学习框架） | C++ | 4373 | 866 |
| 🆕 | 105 | amazon-dsstne | Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models | C++ | 4361 | 739 |
| ⬆️46 | 106 | bert-as-service | Mapping a variable-length sentence to a fixed-length vector using BERT model | Python | 4342 | 836 |
| ⬆️18 | 107 | tensorpack | A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility | Python | 4327 | 1355 |
| 🆕 | 108 | neurojs | A JavaScript deep learning and reinforcement learning library. | JavaScript | 4257 | 360 |
| 🆕 | 109 | face_classification | Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV. | Python | 4249 | 1178 |
| 🆕 | 110 | edward | A probabilistic programming language in TensorFlow. Deep generative models, variational inference. | Jupyter Notebook | 4243 | 754 |
| ⬆️47 | 111 | pytorch_geometric | Geometric Deep Learning Extension Library for PyTorch | Python | 4168 | 615 |
| ⬆️12 | 112 | h2o-3 | Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc. | Java | 4127 | 1502 |
| ⬆️10 | 113 | machine-learning-mindmap | A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning. | None | 4086 | 713 |
| ⬆️8 | 114 | deeplearning-papernotes | Summaries and notes on Deep Learning research papers | None | 4028 | 869 |
| ⬆️6 | 115 | DeepLearningProject | An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch. | HTML | 4002 | 595 |
| ⬆️15 | 116 | deep-learning-coursera | Deep Learning Specialization by Andrew Ng on Coursera. | Jupyter Notebook | 3992 | 3138 |
| ⬆️13 | 117 | keras-rl | Deep Reinforcement Learning for Keras. | Python | 3918 | 997 |
| ⬆️9 | 118 | sketch-code | Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images. | Python | 3902 | 472 |
| 🆕 | 119 | DeepFaceLab | DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md). | Python | 3834 | 934 |
| ⬆️9 | 120 | tensorspace | Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js | JavaScript | 3826 | 327 |
| ⬆️26 | 121 | python-machine-learning-book-2nd-edition | The "Python Machine Learning (2nd edition)" book code repository and info resource | Jupyter Notebook | 3611 | 1653 |
| ⬆️15 | 122 | dl-docker | An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.) | Python | 3578 | 798 |
| ⬆️36 | 123 | faster-rcnn.pytorch | A faster pytorch implementation of faster r-cnn | Python | 3566 | 1163 |
| ⬆️21 | 124 | serving | A flexible, high-performance serving system for machine learning models | C++ | 3556 | 1459 |
| ⬆️16 | 125 | DenseNet | Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award). | Lua | 3530 | 853 |
| ⬆️31 | 126 | stanford-cs-230-deep-learning | VIP cheatsheets for Stanford's CS 230 Deep Learning | None | 3523 | 693 |
| ⬆️21 | 127 | deep-learning-ocean | 📡 All You Need to Know About Deep Learning - A kick-starter | Python | 3478 | 497 |
| ⬆️28 | 128 | graph_nets | Build Graph Nets in Tensorflow | Python | 3437 | 462 |
| ⬆️13 | 129 | iGAN | Interactive Image Generation via Generative Adversarial Networks | Python | 3419 | 517 |
| ⬆️39 | 130 | PySyft | A library for encrypted, privacy preserving deep learning | Python | 3400 | 751 |
| ⬆️24 | 131 | pix2pixHD | Synthesizing and manipulating 2048x1024 images with conditional GANs | Python | 3396 | 637 |
| ⬆️17 | 132 | MachineLearning | Basic Machine Learning and Deep Learning | Python | 3374 | 2565 |
| ⬆️18 | 133 | DeepLearningZeroToAll | TensorFlow Basic Tutorial Labs | Jupyter Notebook | 3360 | 2096 |
| ⬆️6 | 134 | iOS-10-Sampler | Code examples for new APIs of iOS 10. | Swift | 3359 | 346 |
| ⬆️47 | 135 | awesome-object-detection | Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html | None | 3353 | 1048 |
| ⬆️17 | 136 | mace | MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms. | C++ | 3335 | 587 |
| ⬆️9 | 137 | DeepLearnToolbox | Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started. | Matlab | 3327 | 2164 |
| ⬆️24 | 138 | Deep-Learning-21-Examples | 《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码 | Python | 3291 | 1400 |
| ⬆️35 | 139 | PyTorch-Tutorial | Build your neural network easy and fast | Jupyter Notebook | 3252 | 1491 |
| ⬆️21 | 140 | Augmentor | Image augmentation library in Python for machine learning. | Jupyter Notebook | 3229 | 604 |
| ⬆️19 | 141 | Practical_RL | A course in reinforcement learning in the wild | Jupyter Notebook | 3217 | 893 |
| ⬆️8 | 142 | skflow | Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning | Python | 3205 | 468 |
| ⬆️20 | 143 | SSD-Tensorflow | Single Shot MultiBox Detector in TensorFlow | Jupyter Notebook | 3201 | 1523 |
| ⬆️22 | 144 | DeepPavlov | An open source library for deep learning end-to-end dialog systems and chatbots. | Python | 3169 | 569 |
| ⬆️28 | 145 | OpenNMT-py | Open Source Neural Machine Translation in PyTorch | Python | 3108 | 1224 |
| ⬆️34 | 146 | spinningup | An educational resource to help anyone learn deep reinforcement learning. | Python | 3055 | 599 |
| ⬆️31 | 147 | machine_learning_examples | A collection of machine learning examples and tutorials. | Python | 3039 | 3293 |
| 🆕 | 148 | Deep-Learning-Roadmap | 📡 Organized Resources for Deep Learning Researchers and Developers | Python | 2997 | 292 |
| ⬆️30 | 149 | hands-on-ml-zh | 📖 [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】 | CSS | 2995 | 1171 |
| 🆕 | 150 | xlnet | XLNet: Generalized Autoregressive Pretraining for Language Understanding | Python | 2930 | 425 |
| ⬇️4 | 151 | python-machine-learning-book-2nd-edition | The "Python Machine Learning (2nd edition)" book code repository and info resource | Jupyter Notebook | 3611 | 1653 |
| ⬇️15 | 152 | dl-docker | An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.) | Python | 3578 | 798 |
| ⬆️6 | 153 | faster-rcnn.pytorch | A faster pytorch implementation of faster r-cnn | Python | 3566 | 1163 |
| ⬇️9 | 154 | serving | A flexible, high-performance serving system for machine learning models | C++ | 3556 | 1459 |
| ⬇️14 | 155 | DenseNet | Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award). | Lua | 3530 | 853 |
| ⬆️1 | 156 | stanford-cs-230-deep-learning | VIP cheatsheets for Stanford's CS 230 Deep Learning | None | 3523 | 693 |
| ⬇️9 | 157 | deep-learning-ocean | 📡 All You Need to Know About Deep Learning - A kick-starter | Python | 3478 | 497 |
| ⬇️2 | 158 | graph_nets | Build Graph Nets in Tensorflow | Python | 3437 | 462 |
| ⬇️17 | 159 | iGAN | Interactive Image Generation via Generative Adversarial Networks | Python | 3419 | 517 |
| ⬆️9 | 160 | PySyft | A library for encrypted, privacy preserving deep learning | Python | 3400 | 751 |
| ⬇️6 | 161 | pix2pixHD | Synthesizing and manipulating 2048x1024 images with conditional GANs | Python | 3396 | 637 |
| ⬇️13 | 162 | MachineLearning | Basic Machine Learning and Deep Learning | Python | 3374 | 2565 |
| ⬇️12 | 163 | DeepLearningZeroToAll | TensorFlow Basic Tutorial Labs | Jupyter Notebook | 3360 | 2096 |
| ⬇️24 | 164 | iOS-10-Sampler | Code examples for new APIs of iOS 10. | Swift | 3359 | 346 |
| ⬆️17 | 165 | awesome-object-detection | Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html | None | 3353 | 1048 |
| ⬇️13 | 166 | mace | MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms. | C++ | 3335 | 587 |
| ⬇️21 | 167 | DeepLearnToolbox | Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started. | Matlab | 3327 | 2164 |
| ⬇️6 | 168 | Deep-Learning-21-Examples | 《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码 | Python | 3291 | 1400 |
| ⬆️5 | 169 | PyTorch-Tutorial | Build your neural network easy and fast | Jupyter Notebook | 3252 | 1491 |
| ⬇️9 | 170 | Augmentor | Image augmentation library in Python for machine learning. | Jupyter Notebook | 3229 | 604 |
| ⬇️11 | 171 | Practical_RL | A course in reinforcement learning in the wild | Jupyter Notebook | 3217 | 893 |
| ⬇️22 | 172 | skflow | Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning | Python | 3205 | 468 |
| ⬇️10 | 173 | SSD-Tensorflow | Single Shot MultiBox Detector in TensorFlow | Jupyter Notebook | 3201 | 1523 |
| ⬇️7 | 174 | Tensorflow-Tutorial | Tensorflow tutorial from basic to hard | Python | 3184 | 1529 |
| ⬇️9 | 175 | DeepPavlov | An open source library for deep learning end-to-end dialog systems and chatbots. | Python | 3169 | 569 |
| ⬇️3 | 176 | OpenNMT-py | Open Source Neural Machine Translation in PyTorch | Python | 3108 | 1224 |
| ⬇️13 | 177 | deep-learning | Repo for the Deep Learning Nanodegree Foundations program. | Jupyter Notebook | 3073 | 3721 |
| ⬇️10 | 178 | BigDL | BigDL: Distributed Deep Learning Library for Apache Spark | Scala | 3056 | 773 |
| ⬆️1 | 179 | spinningup | An educational resource to help anyone learn deep reinforcement learning. | Python | 3055 | 599 |
| ⬇️2 | 180 | machine_learning_examples | A collection of machine learning examples and tutorials. | Python | 3039 | 3293 |
| 🆕 | 181 | Deep-Learning-Roadmap | 📡 Organized Resources for Deep Learning Researchers and Developers | Python | 2997 | 292 |
| ⬇️3 | 182 | hands-on-ml-zh | 📖 [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】 | CSS | 2995 | 1171 |
| 🆕 | 183 | xlnet | XLNet: Generalized Autoregressive Pretraining for Language Understanding | Python | 2930 | 425 |
| ⬇️12 | 184 | Tensorflow-Project-Template | A best practice for tensorflow project template architecture. | Python | 2929 | 685 |
| ➖ | 185 | face-alignment | 🔥 2D and 3D Face alignment library build using pytorch | Python | 2875 | 655 |
| ⬇️11 | 186 | mlpack | mlpack: a scalable C++ machine learning library -- | C++ | 2849 | 1032 |
| ⬇️11 | 187 | keras-resources | Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library | None | 2842 | 809 |
| ⬇️17 | 188 | deep-learning-papers | Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled. | None | 2828 | 382 |
| 🆕 | 189 | attention-is-all-you-need-pytorch | A PyTorch implementation of the Transformer model in "Attention is All You Need". | Python | 2781 | 694 |
| ⬇️9 | 190 | neural-storyteller | A recurrent neural network for generating little stories about images | Python | 2752 | 495 |
| 🆕 | 191 | book | 📚 All programming languages books | None | 2749 | 960 |
| 🆕 | 192 | labelme | Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation). | Python | 2741 | 934 |
| ⬇️10 | 193 | easy-tensorflow | Simple and comprehensive tutorials in TensorFlow | Python | 2738 | 284 |
| ⬆️4 | 194 | carla | Open-source simulator for autonomous driving research. | C++ | 2731 | 725 |
| ⬆️5 | 195 | Grokking-Deep-Learning | this repository accompanies my forthcoming book "Grokking Deep Learning" | Jupyter Notebook | 2725 | 585 |
| ⬇️5 | 196 | adanet | Fast and flexible AutoML with learning guarantees. | Python | 2700 | 381 |
| ⬇️4 | 197 | ml5-library | Friendly machine learning for the web! 🤖 | JavaScript | 2671 | 210 |
| ⬇️14 | 198 | DeepLearning | Deep Learning (Python, C, C++, Java, Scala, Go) | Java | 2652 | 1355 |
| 🆕 | 199 | textgenrnn | Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code. | Python | 2649 | 378 |
| ⬇️14 | 200 | DeepVideoAnalytics | A distributed visual search and visual data analytics platform. | Python | 2637 | 627 |