samim23

neural-storyteller

A recurrent neural network for generating little stories about images

sketch-rnn

Multilayer LSTM and Mixture Density Network for modelling path-level SVG Vector Graphics data in TensorFlow

deep-fonts

Generate fonts using deep learning

NEXT

NEXT is a machine learning system that runs in the cloud and makes it easy to develop, evaluate, and apply active learning in the real-world. Ask better questions. Get better results. Faster. Automated.

python-mingus

Mingus is a music package for Python

sound-rnn

Generating sound with recurrent neural networks

adversarial

Reproducing the results of "Intriguing Properties of Neural Networks" and beyond

face-generator

GitXiv2

sentimentAPI

A fast python text sentiment API server.

tensorflow-deepq

A deep Q learning demonstration using Google Tensorflow

text-to-image

Text to image synthesis using thought vectors

torch-gan

translator

Torch implementation of Sequence to Sequence Learning with Neural Networks

voxnet

3D/Volumetric Convolutional Neural Networks with Theano+Lasagne

cat-generator

Generate cat images with neural networks

ConvAE

Convolutional autoencoder for mapping image features to lower dimension.

dagbldr

A small helper library for building directed acyclic graphs, trainable by gradient descent, in Theano

DeepTextures

Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 (http://arxiv.org/abs/1505.07376)

fobj

Code for Creative Generation of 3D Objects with Deep Learning and Innovation Engines

icml2016

Generative Adversarial Text-to-Image Synthesis

iGAN

iGAN: Interactive Image Generation powered by GAN

LSTMVRAE

Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks

nips2015_vrnn

opencv

Open Source Computer Vision Library

pydata2015

ride

Code for the recurrent image density estimator.

seya

Bringing up some extra Cosmo to Keras.

Unsupervised-Capsule-Network

Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf

visual-qa

Keras-based LSTM/CNN models for Visual Question Answering