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ggfortify

Define fortify and autoplot functions to allow ggplot2 to handle some popular R packages.

ggnn

Gated Graph Sequence Neural Networks

grid-lstm

Torch7 implementation of Grid LSTM as described here: http://arxiv.org/pdf/1507.01526v2.pdf

groundhog

Library for implementing RNNs with Theano

gru4rec

GRU4Rec is the cleaned & simplified implementation of the algorithm of the "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016. The code is stripped of features that we had found to be unhelpful in increasing accuracy.

gslicr

gSLICr: Real-time super-pixel segmentation

guldan

FTRL 实现

hed-dlg-truncated

Hierarchical Encoder Decoder RNN (HRED) with Truncated Backpropagation Through Time (Truncated BPTT)

hessianfree

An implementation of the Hessian-free optimization algorithm in Theano

icu_rnn

Public repository for multilabel classification of medical diagnoses with LSTM RNNs

ift6266_project

Cats_vs_Dogs for IFT6266 deep learning project

inmf

Source code for ''

ipyparallel

Interactive Parallel Computing in Python

iwae

Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT

kaggle-solution

This project contain my code for competition in kaggle.

kaggle_crowdflower

1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)

keras

Theano-based Deep Learning library (convnets, recurrent neural networks, and more).

lasagne_residual_network

lda

leetcode

项目主页：

libharu

libharu - free PDF library

librfn

Rectified Factor Networks

lift-tutorial

lowrank-gru

Gated Recurrent Unit with Low-rank matrix factorization

lowrankcnn

Low-rank convolutional neural networks

lrec

Linear Recommender AAAI-16 code

lstm---stock-prediction

A long term short term memory recurrent neural network to predict stock data time series

lstm-matlab

lsuvinit

machinelearning

This project contain some machine learning algrithm demo.Maybe the code is also useful to you.