A feature-rich command-line audio/video downloader

pytorch version of pseudo-3d-residual-networks(P-3D), pretrained model is supported

Synchronized Batch Normalization implementation in PyTorch.

PyTorch for Semantic Segmentation

TensorFlow-based implementation of "Pyramid Scene Parsing Network".

Deep Reinforcement Learning with pytorch & visdom

Torch implementation of "Multiple Object Recognition with Visual Attention" on Kaggle Cats vs Dogs dataset

Recurrent Neural Network library for Torch7's nn

Code to accompany the paper "Learning Graphical State Transitions"

A general-purpose encoder-decoder framework for Tensorflow

Oxford Deep NLP 2017 course

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Convert torch t7 model to pytorch model and source.

A Compositional Object-Based Approach to Learning Physical Dynamics

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

A slim tensorflow wrapper that provides syntactic sugar for tensor variables. This library will be helpful for practical deep learning researchers not beginners.

A simple toolkit to easily apply image classification networks to your data.

Tensorflow Faster RCNN for Object Detection

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

Magenta: Music and Art Generation with Machine Intelligence

A ConvLSTM cell with layer normalization and peepholes for TensorFlow's RNN API.

Gaussian processes in TensorFlow

Implementation of Graph Convolutional Networks in TensorFlow

An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow

Composable GAN framework with api and user interface

Cost-Sensitive Support Vector Machines

Reproducing images with geometric primitives.

Faster-RCNN based on Densecap(deprecated)

THE Deep Learning Benchmarks