Andy-P

bitcoinbook

Mastering Bitcoin 3rd Edition - Programming the Open Blockchain

tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

chainer

A flexible framework of neural networks for deep learning

keras-rl

Deep Reinforcement Learning for Keras.

tensorflow-wavenet

A TensorFlow implementation of DeepMind's WaveNet paper

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

fast-wavenet

Speedy Wavenet generation using dynamic programming :zap:

NNPACK

Acceleration package for neural networks on multi-core CPUs

async-rl

Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"

OnlineStats.jl

⚡ Single-pass algorithms for statistics

write-rnn-tensorflow

Generative Handwriting using LSTM Mixture Density Network with TensorFlow

pixel-rnn-tensorflow

in progress

tf-rnn

Practical Examples for RNNs in Tensorflow

Keras-FlappyBird

Using Keras and Deep Q-Network to Play FlappyBird

pastalog

Simple, realtime visualization of neural network training performance.

keras-wavenet

Keras implementation of deepmind's wavenet paper

QML.jl

Build Qt5 QML interfaces for Julia programs.

public_plstm

Phased LSTM

deep-rl

Collection of Deep Reinforcement Learning algorithms

kerlym

KEras Reinforcement Learning gYM agents

atom-julia-client

Juno a good IDE?

dqn

Basic DQN implementation

generative-adversial

image generation via GANs

Artistic-Style

bidirectional_RNN

bidirectional lstm

binary_net

experimental binary net implementation in chainer

Quandl.jl

Julia api to Quandl open source financial, economic and social datasets

mnist-digits-stroke-sequence-data

The MNIST handwritten digit images transformed into a data set for sequence learning. This data set contains pen stroke sequences based on the original MNIST images.

chainer-conv-vis

Convolution filter visualization tool for VGG-net using Chainer

DeterministicPolicyGradient.jl

Reinforcement learning with Deterministic Policy Gradient methods