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groundhog

Library for implementing RNNs with Theano

gumbel

Gumbel-Softmax Variational Autoencoder with Keras

gumbel-softmax

categorical variational autoencoder using the Gumbel-Softmax estimator

gym

A toolkit for developing and comparing reinforcement learning algorithms.

h2o

h2o = fast statistical, machine learning & math runtime for bigdata

h2o-3

Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, GBM, GLM...)

halo2

hdp

Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.

heteroscedasticdropoutuncertainty

Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.

hierarchical-attention-networks-pytorch

Hierarchical Attention Networks for document classification

home

homebrew-core

🍻 Default formulae for the missing package manager for macOS

hyperneat

The original implementation of HyperNEAT in C++

hyperopt-sklearn

Hyper-parameter optimization for sklearn

iclr-blog-track.github.io

iclr15

Sentiment Analysis with Ensemble

imitation

A clean implementation of imitation learning algorithms

implicit-mf

Implicit matrix factorization as outlined in http://labs.yahoo.com/files/HuKorenVolinsky-ICDM08.pdf.

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

independent_study

Independent Study @ Harvard GSD

infogan

infranodus

A Node.Js / Neo4J tool that translates words and relations into network graphs and shows you how it all connects.

install-ocaml

Instructions for setting up an OCaml development environment

intro_deep

Introduction tutorials to deep learning with Theano and OpenDeep

inverse-reinforcement-learning

Implementations of selected inverse reinforcement learning algorithms.

irl_rocks

Cool Inverse Reinforcement Learning Papers

irspack

Train, evaluate, and optimize implicit feedback-based recommender systems.

is13

RNN for Spoken Language Understanding

iwae

Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT

jaccard

A library to make calculating the Jaccard Coefficient Index a snap