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# Top Deep Learning Projects

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

Last Update: 2016.08.09
Last Update: 2016.08.15

| Project Name| Stars | Description |
| ------- | ------ | ------ |
| [TensorFlow](https://github.com/tensorflow/tensorflow) | 29622 | Computation using data flow graphs for scalable machine learning.
| [Caffe](https://github.com/BVLC/caffe) | 11799 | Caffe: a fast open framework for deep learning.
| [Neural Style](https://github.com/jcjohnson/neural-style) | 10148 | Torch implementation of neural style algorithm.
| [Deep Dream](https://github.com/google/deepdream) | 9042 | Deep Dream.
| [Keras](https://github.com/fchollet/keras) | 7502 | Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.
| [Roc AlphaGo](https://github.com/Rochester-NRT/RocAlphaGo) | 7170 | 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).
| [TensorFlow Models](https://github.com/tensorflow/models) | 6671 | Models built with TensorFlow
| [Neural Doodle](https://github.com/alexjc/neural-doodle) | 6275 | 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.)
| [CNTK](https://github.com/Microsoft/CNTK) | 5957 | Computational Network Toolkit (CNTK).
| [TensorFlow Examples](https://github.com/aymericdamien/TensorFlow-Examples) | 5872 | TensorFlow tutorials and code examples for beginners.
| [ConvNet JS](https://github.com/karpathy/convnetjs) | 5231 | Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
| [Torch](https://github.com/torch/torch7) | 5133 | Torch7, Deep Learning Library.
| [OpenFace](https://github.com/cmusatyalab/openface) | 4855 | Face recognition with deep neural networks.
| [MXNet](https://github.com/dmlc/mxnet) | 4685 | Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more.
| [Theano](https://github.com/Theano/Theano) | 4286 | 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.
| [Leaf](https://github.com/autumnai/leaf) | 4281 | Open Machine Intelligence Framework for Hackers.
| [Char RNN](https://github.com/karpathy/char-rnn) | 3820 | Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch.
| [Neural Talk](https://github.com/karpathy/neuraltalk) | 3694 | NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
| [deeplearning4j](https://github.com/deeplearning4j/deeplearning4j) | 3673 | Deep Learning for Java, Scala & Clojure on Hadoop, Spark.
| [TFLearn](https://github.com/tflearn/tflearn) | 3368 | Deep learning library featuring a higher-level API for TensorFlow.
| [TensorFlow Playground](https://github.com/tensorflow/playground) | 3352 | Play with neural networks!
| [OpenAI Gym](https://github.com/openai/gym) | 3020 | A toolkit for developing and comparing reinforcement learning algorithms.
| [Magenta](https://github.com/tensorflow/magenta) | 2914 | Magenta: Music and Art Generation with Machine Intelligence
| [Colornet](https://github.com/pavelgonchar/colornet) | 2798 | Neural Network to colorize grayscale images.
| [Synaptic](https://github.com/cazala/synaptic) | 2666 | architecture-free neural network library for node.js and the browser
| [Neural Talk 2](https://github.com/karpathy/neuraltalk2) | 2550 | Efficient Image Captioning code in Torch, runs on GPU.
| [Image Analogies](https://github.com/awentzonline/image-analogies) | 2540 | Generate image analogies using neural matching and blending.
| [TensorFlow Tutorials](https://github.com/pkmital/tensorflow_tutorials) | 2413 | From the basics to slightly more interesting applications of Tensorflow.
| [Lasagne](https://github.com/Lasagne/Lasagne) | 2355 | Lightweight library to build and train neural networks in Theano.
| [PyLearn2](https://github.com/lisa-lab/pylearn2) | 2153 | A Machine Learning library based on Theano.
| [LISA-lab Deep Learning Tutorials](https://github.com/lisa-lab/DeepLearningTutorials) | 2134 | Deep Learning Tutorial notes and code. See the wiki for more info.
| [Neon](https://github.com/NervanaSystems/neon) | 2121 | Fast, scalable, easy-to-use Python based Deep Learning Framework by Nervana™.
| [Matlab Deep Learning Toolbox](https://github.com/rasmusbergpalm/DeepLearnToolbox) | 2032 | 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.
| [Deep Learning Flappy Bird](https://github.com/yenchenlin1994/DeepLearningFlappyBird) | 1721 | Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
| [Chainer](https://github.com/pfnet/chainer) | 1573 | A flexible framework of neural networks for deep learning.
| [Neural Story Teller](https://github.com/ryankiros/neural-storyteller) | 1514 | A recurrent neural network for generating little stories about images.
| [DIGITS](https://github.com/NVIDIA/DIGITS) | 1353 | Deep Learning GPU Training System.
| [Deep Jazz](https://github.com/jisungk/deepjazz) | 1229 | Deep learning driven jazz generation using Keras & Theano!
| [Brainstorm](https://github.com/IDSIA/brainstorm) | 1143 | Fast, flexible and fun neural networks.
| [Darknet](https://github.com/pjreddie/darknet) | 937 | Open Source Neural Networks in C
| [Theano Tutorials](https://github.com/Newmu/Theano-Tutorials) | 904 | Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
| [RNN Music Composition](https://github.com/hexahedria/biaxial-rnn-music-composition) | 904 | A recurrent neural network designed to generate classical music.
| [Blocks](https://github.com/mila-udem/blocks) | 866 | A Theano framework for building and training neural networks.
| [TDB](https://github.com/ericjang/tdb) | 860 | Interactive, node-by-node debugging and visualization for TensorFlow.
| [Scikit Neural Net](https://github.com/aigamedev/scikit-neuralnetwork) | 849 | Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.
| [Veles](https://github.com/samsung/veles) | 760 | Distributed machine learning platform (Python, CUDA, OpenCL)
| [Deep Detect](https://github.com/beniz/deepdetect) | 759 | Deep Learning API and Server in C++11 with Python bindings and support for Caffe.
| [TensorFlow DeepQ](https://github.com/nivwusquorum/tensorflow-deepq) | 759 | A deep Q learning demonstration using Google Tensorflow.
| [Caffe on Spark](https://github.com/yahoo/CaffeOnSpark) | 724 | Caffe On Spark.
| [Nolearn](https://github.com/dnouri/nolearn) | 702 | Abstractions around neural net libraries, most notably Lasagne.
| [DCGAN TensorFlow](https://github.com/carpedm20/DCGAN-tensorflow) | 568 | A tensorflow implementation of Deep Convolutional Generative Adversarial Networks
| [MatConvNet](https://github.com/vlfeat/matconvnet)| 479 | MATLAB CNN toolbox for computer vision applications.
| [DeepCL](https://github.com/hughperkins/DeepCL)| 413 | OpenCL library to train deep convolutional neural networks.
| [Visual Search Server](https://github.com/AKSHAYUBHAT/VisualSearchServer)| 304 | Visual Search using Tensorflow inception model & Approximate Nearest Neighbors.
Project Name | Stars | Description |
------------ | -----:| ----------- |
[tensorflow](https://github.com/tensorflow/tensorflow) | 29931 | Computation using data flow graphs for scalable machine learning
[caffe](https://github.com/BVLC/caffe) | 11905 | Caffe: a fast open framework for deep learning.
[neural-style](https://github.com/jcjohnson/neural-style) | 10231 | Torch implementation of neural style algorithm
[deepdream](https://github.com/google/deepdream) | 9088 |
[keras](https://github.com/fchollet/keras) | 7590 | Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
[RocAlphaGo](https://github.com/Rochester-NRT/RocAlphaGo) | 7193 | 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.
[models](https://github.com/tensorflow/models) | 6757 | Models built with TensorFlow
[neural-doodle](https://github.com/alexjc/neural-doodle) | 6346 | 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.)
[CNTK](https://github.com/Microsoft/CNTK) | 5981 | Computational Network Toolkit (CNTK)
[TensorFlow-Examples](https://github.com/aymericdamien/TensorFlow-Examples) | 5962 | TensorFlow tutorials and code examples for beginners
[convnetjs](https://github.com/karpathy/convnetjs) | 5261 | Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
[torch7](https://github.com/torch/torch7) | 5157 | http://torch.ch
[openface](https://github.com/cmusatyalab/openface) | 4918 | Face recognition with deep neural networks.
[mxnet](https://github.com/dmlc/mxnet) | 4735 | Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
[Theano](https://github.com/Theano/Theano) | 4314 | 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.
[leaf](https://github.com/autumnai/leaf) | 4289 | Open Machine Intelligence Framework for Hackers. (GPU/CPU)
[char-rnn](https://github.com/karpathy/char-rnn) | 3839 | Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
[deeplearning4j](https://github.com/deeplearning4j/deeplearning4j) | 3721 | Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind
[neuraltalk](https://github.com/karpathy/neuraltalk) | 3703 | NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
[tflearn](https://github.com/tflearn/tflearn) | 3416 | Deep learning library featuring a higher-level API for TensorFlow.
[playground](https://github.com/tensorflow/playground) | 3378 | Play with neural networks!
[gym](https://github.com/openai/gym) | 3059 | A toolkit for developing and comparing reinforcement learning algorithms.
[magenta](https://github.com/tensorflow/magenta) | 2955 | Magenta: Music and Art Generation with Machine Intelligence
[colornet](https://github.com/pavelgonchar/colornet) | 2816 | Neural Network to colorize grayscale images
[synaptic](https://github.com/cazala/synaptic) | 2689 | architecture-free neural network library for node.js and the browser
[neuraltalk2](https://github.com/karpathy/neuraltalk2) | 2561 | Efficient Image Captioning code in Torch, runs on GPU
[image-analogies](https://github.com/awentzonline/image-analogies) | 2545 | Generate image analogies using neural matching and blending.
[tensorflow_tutorials](https://github.com/pkmital/tensorflow_tutorials) | 2447 | From the basics to slightly more interesting applications of Tensorflow
[Lasagne](https://github.com/Lasagne/Lasagne) | 2369 | Lightweight library to build and train neural networks in Theano
[pylearn2](https://github.com/lisa-lab/pylearn2) | 2157 | A Machine Learning library based on Theano
[neon](https://github.com/NervanaSystems/neon) | 2147 | Fast, scalable, easy-to-use Python based Deep Learning Framework by Nervana™
[DeepLearningTutorials](https://github.com/lisa-lab/DeepLearningTutorials) | 2144 | Deep Learning Tutorial notes and code. See the wiki for more info.
[DeepLearnToolbox](https://github.com/rasmusbergpalm/DeepLearnToolbox) | 2036 | 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.
[DeepLearningFlappyBird](https://github.com/yenchenlin1994/DeepLearningFlappyBird) | 1730 | Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
[chainer](https://github.com/pfnet/chainer) | 1577 | A flexible framework of neural networks for deep learning
[neural-storyteller](https://github.com/ryankiros/neural-storyteller) | 1521 | A recurrent neural network for generating little stories about images
[DIGITS](https://github.com/NVIDIA/DIGITS) | 1368 | Deep Learning GPU Training System
[deepjazz](https://github.com/jisungk/deepjazz) | 1239 | Deep learning driven jazz generation using Keras & Theano!
[brainstorm](https://github.com/IDSIA/brainstorm) | 1146 | Fast, flexible and fun neural networks.
[darknet](https://github.com/pjreddie/darknet) | 950 | Convolutional Neural Networks
[Theano-Tutorials](https://github.com/Newmu/Theano-Tutorials) | 911 | Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
[biaxial-rnn-music-composition](https://github.com/hexahedria/biaxial-rnn-music-composition) | 907 | A recurrent neural network designed to generate classical music.
[blocks](https://github.com/mila-udem/blocks) | 868 | A Theano framework for building and training neural networks
[tdb](https://github.com/ericjang/tdb) | 868 | Interactive, node-by-node debugging and visualization for TensorFlow
[scikit-neuralnetwork](https://github.com/aigamedev/scikit-neuralnetwork) | 853 | Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.
[tensorflow-deepq](https://github.com/nivwusquorum/tensorflow-deepq) | 770 | A deep Q learning demonstration using Google Tensorflow
[veles](https://github.com/samsung/veles) | 761 | Distributed machine learning platform
[deepdetect](https://github.com/beniz/deepdetect) | 733 | Deep Learning API and Server in C++11 with Python bindings and support for Caffe and XGBoost
[CaffeOnSpark](https://github.com/yahoo/CaffeOnSpark) | 728 |
[nolearn](https://github.com/dnouri/nolearn) | 707 | Abstractions around neural net libraries, most notably Lasagne.
[DCGAN-tensorflow](https://github.com/carpedm20/DCGAN-tensorflow) | 593 | A tensorflow implementation of Deep Convolutional Generative Adversarial Networks
[matconvnet](https://github.com/vlfeat/matconvnet) | 482 | MatConvNet: CNNs for MATLAB
[DeepCL](https://github.com/hughperkins/DeepCL) | 419 | OpenCL library to train deep convolutional neural networks
[VisualSearchServer](https://github.com/AKSHAYUBHAT/VisualSearchServer) | 303 | A simple implementation of Visual Search using features extracted from Tensorflow inception model and Approximate Nearest Neighbors
55 changes: 55 additions & 0 deletions repos.yml
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---
- AKSHAYUBHAT/VisualSearchServer
- BVLC/caffe
- IDSIA/brainstorm
- Lasagne/Lasagne
- Microsoft/CNTK
- NVIDIA/DIGITS
- NervanaSystems/neon
- Newmu/Theano-Tutorials
- Rochester-NRT/RocAlphaGo
- Theano/Theano
- aigamedev/scikit-neuralnetwork
- alexjc/neural-doodle
- autumnai/leaf
- awentzonline/image-analogies
- aymericdamien/TensorFlow-Examples
- beniz/deepdetect
- carpedm20/DCGAN-tensorflow
- cazala/synaptic
- cmusatyalab/openface
- deeplearning4j/deeplearning4j
- dmlc/mxnet
- dnouri/nolearn
- ericjang/tdb
- fchollet/keras
- google/deepdream
- hexahedria/biaxial-rnn-music-composition
- hughperkins/DeepCL
- jcjohnson/neural-style
- jisungk/deepjazz
- karpathy/char-rnn
- karpathy/convnetjs
- karpathy/neuraltalk
- karpathy/neuraltalk2
- lisa-lab/DeepLearningTutorials
- lisa-lab/pylearn2
- mila-udem/blocks
- nivwusquorum/tensorflow-deepq
- openai/gym
- pavelgonchar/colornet
- pfnet/chainer
- pjreddie/darknet
- pkmital/tensorflow_tutorials
- rasmusbergpalm/DeepLearnToolbox
- ryankiros/neural-storyteller
- samsung/veles
- tensorflow/magenta
- tensorflow/models
- tensorflow/playground
- tensorflow/tensorflow
- tflearn/tflearn
- torch/torch7
- vlfeat/matconvnet
- yahoo/CaffeOnSpark
- yenchenlin1994/DeepLearningFlappyBird