diff --git a/README.md b/README.md
index 3aa89a4..cb96af0 100644
--- a/README.md
+++ b/README.md
@@ -1,61 +1,62 @@
 # 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
diff --git a/repos.yml b/repos.yml
new file mode 100644
index 0000000..e787be1
--- /dev/null
+++ b/repos.yml
@@ -0,0 +1,55 @@
+---
+- 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