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https://github.com/hunkim/DeepLearningStars

Top Deep Learning Projects based on their Stars!
https://github.com/hunkim/DeepLearningStars

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Top Deep Learning Projects based on their Stars!

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# Top Deep Learning Projects

A list of popular github projects related to deep learning (ranked by stars automatically).



Please update list.txt (via pull requests)



| Project Name| Stars | Description 

| ------- | ------ | ------  

| [tensorflow](https://github.com/tensorflow/tensorflow) | 68684 | Computation using data flow graphs for scalable machine learning |  

| [caffe](https://github.com/BVLC/caffe) | 19958 | Caffe: a fast open framework for deep learning. |  

| [keras](https://github.com/fchollet/keras) | 19190 | Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK. |  

| [neural-style](https://github.com/jcjohnson/neural-style) | 14432 | Torch implementation of neural style algorithm |  

| [CNTK](https://github.com/Microsoft/CNTK) | 12240 | Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit |  

| [incubator-mxnet](https://github.com/apache/incubator-mxnet) | 10944 | Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more |  

| [deepdream](https://github.com/google/deepdream) | 10496 |  |  

| [data-science-ipython-notebooks](https://github.com/donnemartin/data-science-ipython-notebooks) | 10021 | 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. |  

| [RocAlphaGo](https://github.com/Rochester-NRT/RocAlphaGo) | 8348 | An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html. |  

| [convnetjs](https://github.com/karpathy/convnetjs) | 7879 | Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser. |  

| [torch7](https://github.com/torch/torch7) | 7225 | http://torch.ch |  

| [deeplearning4j](https://github.com/deeplearning4j/deeplearning4j) | 7100 | Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind |  

| [pytorch](https://github.com/pytorch/pytorch) | 7037 | Tensors and Dynamic neural networks in Python  with strong GPU acceleration |  

| [gym](https://github.com/openai/gym) | 6907 | A toolkit for developing and comparing reinforcement learning algorithms. |  

| [Theano](https://github.com/Theano/Theano) | 6855 | Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation. |  

| [tflearn](https://github.com/tflearn/tflearn) | 6581 | Deep learning library featuring a higher-level API for TensorFlow. |  

| [char-rnn](https://github.com/karpathy/char-rnn) | 6539 | Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch |  

| [caffe2](https://github.com/caffe2/caffe2) | 5547 | Caffe2 is a lightweight, modular, and scalable deep learning framework. |  

| [playground](https://github.com/tensorflow/playground) | 5398 | Play with neural networks! |  

| [Paddle](https://github.com/PaddlePaddle/Paddle) | 5350 | PArallel Distributed Deep LEarning |  

| [Swift-AI](https://github.com/Swift-AI/Swift-AI) | 4919 | The Swift machine learning library. |  

| [Machine-Learning-Tutorials](https://github.com/ujjwalkarn/Machine-Learning-Tutorials) | 4749 | machine learning and deep learning tutorials, articles and other resources  |  

| [neuraltalk](https://github.com/karpathy/neuraltalk) | 4359 | NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences. |  

| [TensorFlow-Tutorials](https://github.com/nlintz/TensorFlow-Tutorials) | 4091 | Simple tutorials using Google's TensorFlow Framework |  

| [TopDeepLearning](https://github.com/aymericdamien/TopDeepLearning) | 3944 | A list of popular github projects related to deep learning |  

| [tensorflow_tutorials](https://github.com/pkmital/tensorflow_tutorials) | 3675 | From the basics to slightly more interesting applications of Tensorflow |  

| [tiny-dnn](https://github.com/tiny-dnn/tiny-dnn) | 3244 | header only, dependency-free deep learning framework in C++14 |  

| [neon](https://github.com/NervanaSystems/neon) | 3197 | Intel® Nervana™ reference deep learning framework committed to best performance on all hardware |  

| [chainer](https://github.com/chainer/chainer) | 2883 | A flexible framework of neural networks for deep learning |  

| [PaintsChainer](https://github.com/pfnet/PaintsChainer) | 2532 | line drawing colorization using chainer |  

| [tensorlayer](https://github.com/zsdonghao/tensorlayer) | 2176 | TensorLayer: Deep Learning and Reinforcement Learning Library for Researcher and Engineer. |  

| [dl-docker](https://github.com/floydhub/dl-docker) | 2128 | An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.) |  

| [deepframeworks](https://github.com/zer0n/deepframeworks) | 1969 | Evaluation of Deep Learning Frameworks |  

| [speech-to-text-wavenet](https://github.com/buriburisuri/speech-to-text-wavenet) | 1733 | Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow |  

| [DeepLearningZeroToAll](https://github.com/hunkim/DeepLearningZeroToAll) | 1352 | TensorFlow Basic Tutorial Labs |  

| [Tensorflow-101](https://github.com/sjchoi86/Tensorflow-101) | 1322 | TensorFlow Tutorials |  

| [tensorflow-deepq](https://github.com/siemanko/tensorflow-deepq) | 1092 | A deep Q learning demonstration using Google Tensorflow |  

| [DeepRL-Agents](https://github.com/awjuliani/DeepRL-Agents) | 712 | A set of Deep Reinforcement Learning Agents implemented in Tensorflow. |  

| [word-rnn-tensorflow](https://github.com/hunkim/word-rnn-tensorflow) | 592 | Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow. |  

| [DeepLearningStars](https://github.com/hunkim/DeepLearningStars) | 207 | Top Deep Learning Projects based on their Stars! |  

| [dlami](https://github.com/ritchieng/dlami) | 185 | A Deep Learning Amazon Web Service (AWS) AMI that is open, free and works. Run in less than 5 minutes. TensorFlow, Keras, PyTorch, Theano, MXNet, CNTK, Caffe and all dependencies. |  



Last Automatic Update: Mon Sep  4 14:03:33 2017



Inspired by https://github.com/aymericdamien/TopDeepLearning