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2017-mcom-unbalanced-ot

L. Chizat, G. Peyré, B. Schmitzer, F-X. Vialard. Scaling Algorithms for Unbalanced Transport Problems. Preprint Arxiv:1607.05816, 2016.

ac-gan

A tensorflow implementation of google's AC-GAN ( Auxiliary Classifier GAN ).

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

ali

Adversarially Learned Inference

bitcoin

Bitcoin Core integration/staging tree

blockchain-python-tutorial

Source Code for my blog post: A Practical Introduction to Blockchain with Python

blocks

A Theano framework for building and training neural networks

bokeh

Interactive Web Plotting for Python

buildsys_2015_neuralnilm

Presentation of Neural NILM for BuildSys 2015 conference in November 2015

ccv

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

convnet

Convolutional Neural Networks for Matlab, including Invariang Backpropagation algorithm (IBP). Has versions for GPU and CPU, written on CUDA, C++ and Matlab. All versions work identically. The GPU version uses kernels from Alex Krizhevsky's library 'cuda-convnet2'.

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dcgan_code

Deep Convolutional Generative Adversarial Networks

deep-learning-models

Keras code and weights files for popular deep learning models.

deeplearntoolbox

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.

deepmat

Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders

gan

Generate images via a Generative Adversarial Network (GAN)

gan-intro

ganhacks

starter from "How to Train a GAN?" at NIPS2016

genadv_tutorial

TensorFlow tutorial on Generative Adversarial Models

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

hypergan

A versatile GAN(generative adversarial network) implementation. Focused on scalability and ease-of-use.

icml2016

Generative Adversarial Text-to-Image Synthesis

improved-gan

code for the paper "Improved Techniques for Training GANs"

inception-resnet-v2

Implementation of Google's Inception + ResNet v2 architecture in Keras

inception-v4

Implementation of Google's Inception v4 architecture in Keras

infogan

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.