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async-rl

Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"

batchgenerators

A framework for data augmentation for 2D and 3D image classification and segmentation

bottom-up-attention-vqa

vqa, bottom-up-attention, pytorch

caffe

Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.

char-models

Character level models for sentiment analysis

deep-rl-docker

Docker image with OpenAI Gym, Baselines, MuJoCo and Roboschool, utilizing TensorFlow and JupyterLab.

deep-rl-tensorflow

TensorFlow implementation of Deep Reinforcement Learning papers

deep_architecture_genealogy

Deep Learning Architecture Genealogy Project

deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

densecap

Dense image captioning in Torch

dtw_cython

Dynamic Time Warping in Cython

evo-design

Code for my blog post "Design by Evolution"

funit

Translate images to unseen domains in the test time with few example images.

gannotation

GANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)

imgaug

Image augmentation for machine learning experiments.

k-evo

Evolution of deep learning architectures

kaggle-cifar10-torch7

Code for Kaggle-CIFAR10 competition.

keras

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

lasagne

Lightweight library to build and train neural networks in Theano

metric_learn

Metric learning algorithms in Python

neural-turing-machines

Attempt at implementing system described in MLA Graves, Alex, Greg Wayne, and Ivo Danihelka. "Neural Turing Machines." arXiv preprint arXiv:1410.5401 (2014). http://arxiv.org/abs/1410.5401

offbit.github.io

Moon is a minimal, one column jekyll theme.

pybrain

pykinecttools

A collection of algorithms for use with RGB-D data.

pytorch

Python wrappers for torch and lua

pytorch-kaldi

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

pytorch-neat

seq-to-set

speech-to-text-wavenet

Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow

spotlight

Deep recommender models using PyTorch.