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torch-autograd

Autograd automatically differentiates native Torch code. Ported to Lua from the original Python version.

torch-ffmpeg

ffmpeg in torch that is simple and easy to install

torch-residual-networks

This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.

torch-rnn

Efficient, reusable RNNs and LSTMs for torch

torch-seq2seq-attention

Torch implementation of seq2seq translation with attention

torchglove

PyTorch implementation of Global Vectors for Word Representation.

transfer_learning

treelstm

Tree-structured Long Short-Term Memory networks (http://arxiv.org/abs/1503.00075)

treelstm.pytorch

Tree LSTM implementation in PyTorch

treernn

Recurrent Neural Networks with tree structure in Tensorflow

tsn-pytorch

Temporal Segment Networks (TSN) in PyTorch

tsne

A python wrapper for Barnes-Hut tsne

tt-mrf

tt-toolbox

The git repository for the TT-Toolbox

tt_rnn

ttpy

Python implementation of the TT-Toolbox

turk

Amazon Mechanical Turk API

turkic

A simple framework to manage Mechanical Turk jobs.

tweater

TwEater (short for Twitter Eater) is a tool designed to help you archive long-term Twitter search queries. TwEater supports a variety of backends, from flat files to MySQL databases, and it's easy to plug in your own storage code. TwEater is released under a GPL v3 license; see the file LICENSE for more information.

two-stream-pytorch

PyTorch implementation of two-stream networks for video action recognition

twostreamfusion

Code release for "Convolutional Two-Stream Network Fusion for Video Action Recognition", CVPR 2016.

udacity-deep_learning

Jupyter notebooks (with answers) used during the Deep Learning MOOC

umap

Uniform Manifold Approximation and Projection

unambiguous-object-description

Implementation of Unambiguous Object Description Generation and Comprehension as presented in the paper by Junhao Mao et. al in CVPR, 2016

understanding-pytorch-batching-lstm

Understanding and visualizing PyTorch Batching with LSTM

unreliableattributes

"Zero-shot recognition with unreliable attributes" paper implementation

unrolled_gan

Unrolled Generative Adversarial Networks

unsupervised-triplet-embedding

attempt at implementing "Unsupervised Learning of Visual Representations using Videos" (http://arxiv.org/pdf/1505.00687.pdf) in torch7

unsupervised-videos

Unsupervised Learning of Video Representations using LSTMs

uw-course-notes

some lecture notes from the University of Waterloo.