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: 04-02-2019 compared to 07-17-2018
Hint: This will be updated regularly.
Pos | Name | Description | Language | Stars | Forks | |
---|---|---|---|---|---|---|
➖ | 1 | tensorflow | An Open Source Machine Learning Framework for Everyone | C++ | 124506 | 73403 |
➖ | 2 | keras | Deep Learning for humans | Python | 39683 | 15113 |
➖ | 3 | opencv | Open Source Computer Vision Library | C++ | 33226 | 23984 |
⬆️1 | 4 | TensorFlow-Examples | TensorFlow Tutorial and Examples for Beginners with Latest APIs | Jupyter Notebook | 30459 | 11486 |
⬇️1 | 5 | caffe | Caffe: a fast open framework for deep learning. | C++ | 27693 | 16655 |
⬆️3 | 6 | pytorch | Tensors and Dynamic neural networks in Python with strong GPU acceleration | C++ | 26443 | 6256 |
➖ | 7 | deeplearningbook-chinese | Deep Learning Book Chinese Translation | TeX | 23647 | 6939 |
🆕 | 8 | 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,近30万字。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 | 22408 | 6145 |
⬇️1 | 9 | Deep-Learning-Papers-Reading-Roadmap | Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech! | Python | 22280 | 5021 |
⬇️4 | 10 | machine-learning-for-software-engineers | A complete daily plan for studying to become a machine learning engineer. | None | 21454 | 4805 |
🆕 | 11 | 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 | 20767 | 6184 |
⬇️1 | 12 | Detectron | FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet. | Python | 19765 | 4152 |
⬇️3 | 13 | awesome-deep-learning-papers | The most cited deep learning papers | TeX | 18322 | 3467 |
🆕 | 14 | practicalAI | 📚 A practical approach to learning and using machine learning. | Jupyter Notebook | 16909 | 2715 |
⬇️2 | 15 | 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++ | 16622 | 5923 |
⬇️4 | 16 | CNTK | Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit | C++ | 15965 | 4237 |
⬇️3 | 17 | 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 | 15256 | 4600 |
⬇️3 | 18 | lectures | Oxford Deep NLP 2017 course | None | 13632 | 3191 |
⬆️9 | 19 | 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 | 13620 | 7247 |
⬆️32 | 20 | fastai | The fastai deep learning library, plus lessons and tutorials | Jupyter Notebook | 12832 | 4678 |
⬇️2 | 21 | spaCy | 💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython | Python | 12760 | 2152 |
⬆️3 | 22 | darknet | Convolutional Neural Networks | C | 12393 | 7111 |
⬇️7 | 23 | Qix | Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang | None | 12379 | 4647 |
⬆️12 | 24 | openpose | OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation | C++ | 11963 | 3284 |
⬇️7 | 25 | openface | Face recognition with deep neural networks. | Lua | 11846 | 2875 |
⬇️6 | 26 | cheatsheets-ai | Essential Cheat Sheets for deep learning and machine learning researchers | None | 11773 | 2778 |
⬇️4 | 27 | awesome-deep-learning | A curated list of awesome Deep Learning tutorials, projects and communities. | None | 11683 | 3585 |
🆕 | 28 | Screenshot-to-code | A neural network that transforms a design mock-up into a static website | HTML | 11435 | 1097 |
⬇️3 | 29 | 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 data mining to deep learning. | Python | 11242 | 1923 |
⬆️17 | 30 | Mask_RCNN | Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow | Python | 11166 | 4795 |
⬇️10 | 31 | deeplearning4j | Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark | Java | 10562 | 4622 |
⬆️8 | 32 | DeepSpeech | A TensorFlow implementation of Baidu's DeepSpeech architecture | C++ | 9794 | 1759 |
⬇️2 | 33 | awesome-datascience | 📝 An awesome Data Science repository to learn and apply for real world problems. | None | 9625 | 2858 |
⬇️10 | 34 | convnetjs | Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser. | JavaScript | 9602 | 1898 |
🆕 | 35 | 100-Days-Of-ML-Code | 100-Days-Of-ML-Code中文版 | Jupyter Notebook | 9264 | 2325 |
⬇️9 | 36 | dive-into-machine-learning | Dive into Machine Learning with Python Jupyter notebook and scikit-learn! | None | 9194 | 1677 |
⬇️5 | 37 | neural-enhance | Super Resolution for images using deep learning. | Python | 9065 | 965 |
⬇️8 | 38 | tflearn | Deep learning library featuring a higher-level API for TensorFlow. | Python | 9003 | 2265 |
⬆️3 | 39 | neural-networks-and-deep-learning | Code samples for my book "Neural Networks and Deep Learning" | Python | 8858 | 4384 |
⬇️2 | 40 | Machine-Learning-Tutorials | machine learning and deep learning tutorials, articles and other resources | None | 8855 | 2636 |
🆕 | 41 | caffe2 | Caffe2 is a lightweight, modular, and scalable deep learning framework. | Shell | 8447 | 2129 |
⬇️5 | 42 | tfjs-core | WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript. | TypeScript | 8409 | 935 |
⬇️2 | 43 | Paddle | PArallel Distributed Deep LEarning (PaddlePaddle核心框架,高性能单机、分布式训练和跨平台部署) | C++ | 8386 | 2268 |
⬆️2 | 44 | stanford-tensorflow-tutorials | This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research. | Python | 8338 | 3837 |
⬇️1 | 45 | awesome-deep-vision | A curated list of deep learning resources for computer vision | None | 8015 | 2349 |
⬆️5 | 46 | awesome-nlp | 📖 A curated list of resources dedicated to Natural Language Processing (NLP) | None | 7898 | 1433 |
⬆️3 | 47 | fast-style-transfer | TensorFlow CNN for fast style transfer ⚡🖥🎨🖼 | Python | 7675 | 1820 |
⬆️7 | 48 | facenet | Face recognition using Tensorflow | Python | 7618 | 3168 |
🆕 | 49 | DeepCreamPy | Decensoring Hentai with Deep Neural Networks | Python | 7551 | 759 |
⬇️5 | 50 | MLAlgorithms | Minimal and clean examples of machine learning algorithms implementations | Python | 7356 | 1238 |
⬆️13 | 51 | tensor2tensor | Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. | Python | 7344 | 1860 |
🆕 | 52 | d2l-zh | 《动手学深度学习》,英文版即伯克利深度学习(STAT 157,2019春)教材。面向中文读者、能运行、可讨论。 | Python | 7338 | 1973 |
🆕 | 53 | Virgilio | Your new Mentor for Data Science E-Learning. | Jupyter Notebook | 7016 | 1281 |
➖ | 54 | dlib | A toolkit for making real world machine learning and data analysis applications in C++ | C++ | 6911 | 2069 |
⬆️22 | 55 | labelImg | 🤘 LabelImg is a graphical image annotation tool and label object bounding boxes in images | Python | 6430 | 2258 |
🆕 | 56 | libfacedetection | An open source library for face detection in images. The face detection speed can reach 1500FPS. | C++ | 6377 | 1746 |
➖ | 57 | pix2pix | Image-to-image translation with conditional adversarial nets | Lua | 5971 | 974 |
⬆️103 | 58 | Awesome-pytorch-list | A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc. | None | 5938 | 1299 |
⬆️9 | 59 | ncnn | ncnn is a high-performance neural network inference framework optimized for the mobile platform | C++ | 5923 | 1566 |
🆕 | 60 | horovod | Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. | C++ | 5839 | 818 |
🆕 | 61 | stanford-cs-229-machine-learning | VIP cheatsheets for Stanford's CS 229 Machine Learning | None | 7432 | 1724 |
⬇️17 | 62 | MLAlgorithms | Minimal and clean examples of machine learning algorithms implementations | Python | 7356 | 1238 |
⬆️1 | 63 | tensor2tensor | Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. | Python | 7344 | 1860 |
🆕 | 64 | d2l-zh | 《动手学深度学习》,英文版即伯克利深度学习(STAT 157,2019春)教材。面向中文读者、能运行、可讨论。 | Python | 7338 | 1973 |
🆕 | 65 | Virgilio | Your new Mentor for Data Science E-Learning. | Jupyter Notebook | 7016 | 1281 |
⬇️12 | 66 | dlib | A toolkit for making real world machine learning and data analysis applications in C++ | C++ | 6911 | 2069 |
⬇️6 | 67 | TensorFlow-Tutorials | TensorFlow Tutorials with YouTube Videos | Jupyter Notebook | 6787 | 3295 |
⬆️17 | 68 | ray | A system for parallel and distributed Python that unifies the ML ecosystem. | Python | 6441 | 889 |
⬆️8 | 69 | labelImg | 🤘 LabelImg is a graphical image annotation tool and label object bounding boxes in images | Python | 6430 | 2258 |
🆕 | 70 | libfacedetection | An open source library for face detection in images. The face detection speed can reach 1500FPS. | C++ | 6377 | 1746 |
⬆️11 | 71 | deep-learning-with-python-notebooks | Jupyter notebooks for the code samples of the book "Deep Learning with Python" | Jupyter Notebook | 6369 | 2943 |
⬇️1 | 72 | conv_arithmetic | A technical report on convolution arithmetic in the context of deep learning | TeX | 6048 | 1189 |
⬇️16 | 73 | pix2pix | Image-to-image translation with conditional adversarial nets | Lua | 5971 | 974 |
⬆️87 | 74 | Awesome-pytorch-list | A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc. | None | 5938 | 1299 |
⬇️7 | 75 | ncnn | ncnn is a high-performance neural network inference framework optimized for the mobile platform | C++ | 5923 | 1566 |
🆕 | 76 | horovod | Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. | C++ | 5839 | 818 |
⬆️36 | 77 | allennlp | An open-source NLP research library, built on PyTorch. | Python | 5801 | 1114 |
⬆️2 | 78 | onnx | Open Neural Network Exchange | PureBasic | 5769 | 847 |
⬆️16 | 79 | mit-deep-learning-book-pdf | MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville | Java | 5572 | 1323 |
⬇️17 | 80 | py-faster-rcnn | Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version | Python | 5548 | 3471 |
⬇️28 | 81 | Swift-AI | The Swift machine learning library. | Swift | 5547 | 535 |
🆕 | 82 | DeOldify | A Deep Learning based project for colorizing and restoring old images | Python | 5455 | 402 |
⬆️8 | 83 | ml-agents | Unity Machine Learning Agents Toolkit | C# | 5448 | 1374 |
🆕 | 84 | learnopencv | Learn OpenCV : C++ and Python Examples | Jupyter Notebook | 5441 | 3449 |
⬆️14 | 85 | imgaug | Image augmentation for machine learning experiments. | Python | 5428 | 1131 |
⬇️30 | 86 | BossSensor | Hide screen when boss is approaching. | Python | 5390 | 1001 |
⬇️1 | 87 | fashion-mnist | A MNIST-like fashion product database. Benchmark 👉 | Python | 5362 | 937 |
⬇️30 | 88 | awesome-rnn | Recurrent Neural Network - A curated list of resources dedicated to RNN | None | 5327 | 1330 |
🆕 | 89 | SerpentAI | Game Agent Framework. Helping you create AIs / Bots to play any game you own! | Jupyter Notebook | 5097 | 539 |
⬇️25 | 90 | DeepLearningFlappyBird | Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning). | Python | 5057 | 1588 |
🆕 | 91 | CNN | Convolutional Neural Network(卷积神经网络)(NOT FINISHED!!!) | Python | 43 | 35 |
🆕 | 92 | tangshi-rnn | None | Lua | 43 | 19 |
🆕 | 93 | deep-learning-nd | Udacity Deep learning nanodegree projects | Python | 42 | 44 |
🆕 | 94 | gogh-figure | Fast, Lightweight Style Transfer using Deep Learning | Python | 42 | 11 |
🆕 | 95 | AWSGPU_DeepLearning | Code to setup AWS GPU instance to run Daniel Nouri's Facial Keypoints competition | Python | 41 | 18 |
🆕 | 96 | deep-learning-cn | None | None | 41 | 8 |
🆕 | 97 | CNN-Face-Point-Detection | This project is about the utilization of CNN to detect human face point. Trained with the dataset LFW and images from Internet. | C++ | 41 | 46 |
🆕 | 98 | Selfie_Filters_OpenCV | This deep learning application can detect Facial Keypoints (15 unique points). They mark important areas of the face - the eyes, corners of the mouth, the nose, etc. | Python | 41 | 10 |
🆕 | 99 | recnn | Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics" | Jupyter Notebook | 41 | 14 |
🆕 | 100 | sangita | A Natural Language Toolkit for Indian Languages | Python | 41 | 40 |
🆕 | 101 | chainer-segnet | SegNet implementation & experiments in Chainer | Python | 41 | 7 |
🆕 | 102 | DeepLearningBook-Resources | Resource files for "Deep Learning - From Basics to Practice" by Andrew Glassner | None | 40 | 6 |
🆕 | 103 | rnnlib | A. Grave's RNNLIB made more readable | nesC | 40 | 7 |
🆕 | 104 | LittleConv | The C++11 deep learning framework, which is very easy to use | C++ | 40 | 16 |
🆕 | 105 | deep-fashion | Proposal a new method to retrieval clothing images | Python | 40 | 15 |
🆕 | 106 | customerml | CustomerML is an open source customer science platform leveraging the power of Predictiveworks and fully integrated with Elasticsearch and Shopify. CustomerML starts with proven RFM analysis and combines the results with machine learning thereby providing a deep customer understanding. | Scala | 40 | 22 |
🆕 | 107 | RealismCNN | code for predicting and improving visual realism in composite images | Matlab | 39 | 14 |
🆕 | 108 | bayesian-deep-learning-notes | A list of notes on Bayesian deep learning papers | None | 39 | 9 |
🆕 | 109 | deeprl | Universal library for deep reinforcement learning. | Python | 39 | 15 |
🆕 | 110 | ddx | Deep Learning Dashboard | JavaScript | 39 | 5 |
🆕 | 111 | udacity_self_driving_car | Projects from Udacity Self Driving Car Nanodegree | Jupyter Notebook | 39 | 23 |
🆕 | 112 | GCNGEMM | Optimized half precision gemm assembly kernels on AMD Fiji | Perl | 39 | 11 |
🆕 | 113 | ConvNetSwift | Swift port of ConvnetJS. [Work in progress] | Swift | 39 | 5 |
🆕 | 114 | FaceDetect | Face detection with convolutional neural networks in TensorFlow. | Python | 38 | 15 |
🆕 | 115 | MachineLearningSamples-DeepLearningforPredictiveMaintenance | MachineLearningSamples-DeepLearningforPredictiveMaintenance | Jupyter Notebook | 38 | 32 |
🆕 | 116 | resnet | Implementation of Deep Residual Learning / Residual Network for MSR paper http://arxiv.org/abs/1512.03385 | Python | 38 | 27 |
🆕 | 117 | Classify-Real-Time-Desktop | Inception model used to classify camera feed on real time. Coded during the Deep Learning Hackathon 2017 San Francisco | Python | 38 | 16 |
🆕 | 118 | transfer-mxnet | transfer learning written in mxnet | Python | 38 | 8 |
🆕 | 119 | Deep_Learning_with_Intel | This is the code for "Deep Learning with Intel" By Siraj Raval on Youtube | Python | 37 | 9 |
🆕 | 120 | DeepANN | Theano based deep ANN learning code | Python | 37 | 16 |
⬇️15 | 121 | DeepLearningProject | An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch. | HTML | 3986 | 593 |
⬇️33 | 122 | deeplearning-papernotes | Summaries and notes on Deep Learning research papers | None | 3960 | 850 |
⬇️33 | 123 | machine-learning-mindmap | A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning. | None | 3960 | 700 |
⬇️26 | 124 | 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 | 3912 | 1448 |
⬇️5 | 125 | tensorpack | A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility | Python | 3909 | 1214 |
⬇️38 | 126 | neon | Intel® Nervana™ reference deep learning framework committed to best performance on all hardware | Python | 3751 | 833 |
⬆️54 | 127 | sketch-code | Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images. | Python | 3746 | 443 |
⬇️36 | 128 | DeepLearningTutorials | Deep Learning Tutorial notes and code. See the wiki for more info. | Python | 3724 | 2075 |
🆕 | 129 | 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 | 3664 | 297 |
⬇️22 | 130 | keras-rl | Deep Reinforcement Learning for Keras. | Python | 3645 | 920 |
⬇️7 | 131 | deep-learning-coursera | Deep Learning Specialization by Andrew Ng on Coursera. | Jupyter Notebook | 3635 | 2843 |
⬇️35 | 132 | DIGITS | Deep Learning GPU Training System | HTML | 3612 | 1306 |
🆕 | 133 | netron | Visualizer for deep learning and machine learning models | JavaScript | 3603 | 382 |
⬇️32 | 134 | vrn | 👨 Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression" | Shell | 3562 | 562 |
⬇️26 | 135 | Realtime_Multi-Person_Pose_Estimation | Code repo for realtime multi-person pose estimation in CVPR'17 (Oral) | Jupyter Notebook | 3549 | 1063 |
🆕 | 136 | wav2letter | Facebook AI Research Automatic Speech Recognition Toolkit | C++ | 3496 | 527 |
⬇️33 | 137 | dl-docker | An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.) | Python | 3466 | 782 |
⬇️23 | 138 | the-incredible-pytorch | The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch. | None | 3444 | 654 |
🆕 | 139 | 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 | 3403 | 730 |
⬇️44 | 140 | iOS-10-Sampler | Code examples for new APIs of iOS 10. | Swift | 3360 | 348 |
⬇️30 | 141 | DenseNet | Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award). | Lua | 3355 | 808 |
⬇️35 | 142 | iGAN | Interactive Image Generation via Generative Adversarial Networks | Python | 3328 | 501 |
⬆️13 | 143 | MMdnn | MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. | Python | 3327 | 656 |
🆕 | 144 | photoprism | Personal Photo Management powered by Go and Google TensorFlow | Go | 3310 | 148 |
🆕 | 145 | serving | A flexible, high-performance serving system for machine learning models | C++ | 3264 | 1362 |
⬇️43 | 146 | 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 | 3255 | 2118 |
🆕 | 147 | python-machine-learning-book-2nd-edition | The "Python Machine Learning (2nd edition)" book code repository and info resource | Jupyter Notebook | 3239 | 1479 |
🆕 | 148 | deep-learning-ocean | 📡 All You Need to Know About Deep Learning - A kick-starter | Python | 3218 | 449 |
⬇️35 | 149 | MachineLearning | Basic Machine Learning and Deep Learning | Python | 3206 | 2463 |
⬇️49 | 150 | skflow | Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning | Python | 3200 | 467 |
⬇️34 | 151 | DeepLearningZeroToAll | TensorFlow Basic Tutorial Labs | Jupyter Notebook | 3168 | 1925 |
🆕 | 152 | bert-as-service | Mapping a variable-length sentence to a fixed-length vector using BERT model | Python | 3144 | 582 |
⬇️21 | 153 | mace | MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms. | C++ | 3141 | 553 |
⬆️18 | 154 | tvm | Open deep learning compiler stack for cpu, gpu and specialized accelerators | Python | 3139 | 743 |
⬇️20 | 155 | pix2pixHD | Synthesizing and manipulating 2048x1024 images with conditional GANs | Python | 3111 | 578 |
🆕 | 156 | graph_nets | Build Graph Nets in Tensorflow | Python | 3102 | 380 |
🆕 | 157 | stanford-cs-230-deep-learning | VIP cheatsheets for Stanford's CS 230 Deep Learning | None | 3066 | 593 |
🆕 | 158 | pytorch_geometric | Geometric Deep Learning Extension Library for PyTorch | Python | 3050 | 409 |
⬆️40 | 159 | faster-rcnn.pytorch | A faster pytorch implementation of faster r-cnn | Python | 3016 | 918 |
⬇️30 | 160 | Practical_RL | A course in reinforcement learning in the wild | Jupyter Notebook | 3013 | 815 |
⬇️20 | 161 | Augmentor | Image augmentation library in Python for machine learning. | Jupyter Notebook | 3001 | 560 |
⬇️3 | 162 | 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 | 2980 | 1233 |
⬇️20 | 163 | SSD-Tensorflow | Single Shot MultiBox Detector in TensorFlow | Jupyter Notebook | 2938 | 1363 |
⬇️42 | 164 | deep-learning | Repo for the Deep Learning Nanodegree Foundations program. | Jupyter Notebook | 2936 | 3568 |
🆕 | 165 | Deep-Learning-World | 📡 Organized Resources for Deep Learning Researchers and Developers | Python | 2932 | 286 |
⬇️12 | 166 | DeepPavlov | An open source library for deep learning end-to-end dialog systems and chatbots. | Python | 2920 | 492 |
⬇️12 | 167 | Tensorflow-Tutorial | Tensorflow tutorial from basic to hard | Python | 2909 | 1397 |
⬇️52 | 168 | BigDL | BigDL: Distributed Deep Learning Library for Apache Spark | Scala | 2880 | 709 |
🆕 | 169 | PySyft | A library for encrypted, privacy preserving deep learning | Python | 2842 | 634 |
⬇️6 | 170 | opencv4nodejs | Asynchronous OpenCV 3.x nodejs bindings with JavaScript and TypeScript API, with examples for: Face Detection, Machine Learning, Deep Neural Nets, Hand Gesture Recognition, Object Tracking, Feature Matching, Image Histogram | C++ | 2803 | 430 |
⬇️59 | 171 | deep-learning-papers | Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled. | None | 2794 | 376 |
⬇️43 | 172 | Tensorflow-Project-Template | A best practice for tensorflow project template architecture. | Python | 2792 | 650 |
⬆️5 | 173 | OpenNMT-py | Open Source Neural Machine Translation in PyTorch | Python | 2775 | 1088 |
🆕 | 174 | PyTorch-Tutorial | Build your neural network easy and fast | Jupyter Notebook | 2773 | 1244 |
⬇️50 | 175 | mlpack | mlpack: a scalable C++ machine learning library -- | C++ | 2746 | 1002 |
⬇️50 | 176 | keras-resources | Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library | None | 2745 | 781 |
🆕 | 177 | Recommenders | Recommender Systems | Jupyter Notebook | 2736 | 327 |
⬇️13 | 178 | machine_learning_examples | A collection of machine learning examples and tutorials. | Python | 2721 | 2931 |
🆕 | 179 | hands-on-ml-zh | 📖 [译] Sklearn 与 TensorFlow 机器学习实用指南 | CSS | 2716 | 1000 |
🆕 | 180 | spinningup | An educational resource to help anyone learn deep reinforcement learning. | Python | 2707 | 482 |
⬇️63 | 181 | neural-storyteller | A recurrent neural network for generating little stories about images | Python | 2705 | 484 |
🆕 | 182 | awesome-object-detection | Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html | None | 2705 | 832 |
⬇️62 | 183 | easy-tensorflow | Simple and comprehensive tutorials in TensorFlow | Python | 2686 | 263 |
⬇️65 | 184 | DeepLearning | Deep Learning (Python, C, C++, Java, Scala, Go) | Java | 2617 | 1348 |
⬇️22 | 185 | face-alignment | 🔥 2D and 3D Face alignment library build using pytorch | Python | 2587 | 583 |
⬇️41 | 186 | DeepVideoAnalytics | A distributed visual search and visual data analytics platform. | Python | 2543 | 609 |
🆕 | 187 | 60_Days_RL_Challenge | Learn Deep Reinforcement Learning in Depth in 60 days | Jupyter Notebook | 2502 | 237 |
⬇️51 | 188 | deep-learning-keras-tensorflow | Introduction to Deep Neural Networks with Keras and Tensorflow | Jupyter Notebook | 2495 | 1116 |
⬇️42 | 189 | gorgonia | Gorgonia is a library that helps facilitate machine learning in Go. | Go | 2492 | 234 |
⬇️52 | 190 | deep-learning-book | Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python" | Jupyter Notebook | 2491 | 677 |
🆕 | 191 | adanet | Fast and flexible AutoML with learning guarantees. | Python | 2485 | 345 |
⬇️56 | 192 | char-rnn-tensorflow | Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow | Python | 2440 | 928 |
⬇️16 | 193 | ml5-library | Friendly machine learning for the web! 🤖 | JavaScript | 2428 | 186 |
⬇️34 | 194 | tensorflow_poems | 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! | Python | 2420 | 690 |
⬇️61 | 195 | Automatic_Speech_Recognition | End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow | Python | 2407 | 468 |
⬇️48 | 196 | DeepQA | My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot | Python | 2389 | 1052 |
⬇️3 | 197 | handong1587.github.io | None | CSS | 2389 | 880 |
➖ | 198 | carla | Open-source simulator for autonomous driving research. | C++ | 2385 | 601 |
⬇️55 | 199 | fast-rcnn | Fast R-CNN | Python | 2383 | 1319 |
🆕 | 200 | Grokking-Deep-Learning | this repository accompanies my forthcoming book "Grokking Deep Learning" | Jupyter Notebook | 2371 | 494 |