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trax

Trax — Deep Learning with Clear Code and Speed

tree-gen

Procedural generation of tree models in blender

treefilter-torch

Learnable Tree Filter for Structure-preserving Feature Transform

treelstm

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

treelstm.pytorch

Tree LSTM implementation in PyTorch

trellisnet

Trellis Networks for Sequence Modeling

trfl

TensorFlow Reinforcement Learning

triple-gan

Triple-GAN: a unified framework for classification and class-conditional generation in semi-supervised learing

triplet-reid

Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.

triviaqa

Code for the TriviaQA reading comprehension dataset

trixi

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

trn-pytorch

Temporal Relation Networks

trojai

A repository to quickly generate synthetic data for trojaning deep learning models

trpo

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

tsai

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

tsalib

Tensor Shape (Annotation) Library (numpy, tensorflow, pytorch, ...)

tsdf-fusion-python

Python code to fuse multiple RGB-D images into a TSDF voxel volume.

tsfresh

Automatic extraction of relevant features from time series:

tsn-pytorch

Temporal Segment Networks (TSN) in PyTorch

tsne-cuda

GPU Accelerated t-SNE for CUDA with Python bindings

tt_rnn

tupa

Transition-based UCCA Parser

turicreate

Turi Create simplifies the development of custom machine learning models.

turningweaknessintostrength

Official implementation for paper: A New Defense Against Adversarial Images: Turning a Weakness into a Strength

tutorial-softweightsharingfornncompression

A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017

tvm

End to end Tensor IR/DSL stack for deploying deep learning workloads to hardwares

tvnet

End-to-End Learning of Motion Representation for Video Understanding

tvqa

PyTorch code accompanies the TVQA dataset paper, in EMNLP 2018

twee

An equational theorem prover based on Knuth-Bendix completion

tweet2vec

Twitter hashtag prediction