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).

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.)

Deep Learning in Javascript.

Train Convolutional Neural Networks (or ordinary ones) in your browser.

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic,

Mutation-aware Dataflow Dep Scheduler;

for Python, R, Julia, Scala, Go, Javascript and more.

Numenta Platform for Intelligent Computing:

a brain-inspired machine intelligence platform,

and biologically accurate neural network based on cortical learning algorithms.

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.

NeuralTalk is a Python+numpy project for

learning Multimodal Recurrent Neural Networks that describe images with sentences.

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.

Bare bones introduction to machine learning from

linear regression to convolutional neural networks using Theano.

Deep neural networks without the learning cliff!

Classifiers and regressors compatible with scikit-learn.

A tensorflow implementation of

Deep Convolutional Generative Adversarial Networks