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torchmf

matrix factorization in PyTorch

torchssl

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

towards-data-science---notebooks

towards_data_science

Repo containing code for Towards Data Science articles

tpot

A Python tool that automatically creates and optimizes machine learning pipelines using genetic programming.

tqdm

Add a progress meter to your loops in a second

tracer

collect trace information from R optimization functions

traces

A Python library for unevenly-spaced time series analysis

trackintel

trackintel is a framework for spatio-temporal analysis of movement trajectory and mobility data.

tradingstudies

Free NinjaTrader Indicators

tradingtools

NinjaTrader tools

traffic_simulator

training

Training materials for Strata, AMP Camp, etc

training-day

trainingrnns

transdim

Machine learning for transportation data imputation and prediction.

transductive-pac-bayes

PAC-Bayesian bounds computation related to "PAC-Bayesian Theory for Transductive Learning" (AISTATS 2014)

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

transform-face

face transformation with the Cinder framework, OpenCV and ASMLib

transformer-autoencoder

Autoencoder version on Transformer model from NLP, written in Pytorch

transformer-failure-prediction

This project includes the implementation and comparision of various Machine Learning Classification Algorithm to predict the Transformer Failure.

transformer-tensorflow

TensorFlow implementation of 'Attention Is All You Need (2017. 6)'

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

transformers4rec

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.

transseq

trapezoidal_data

traxrureformer

Trax Reformer Experiments

trec-collection-downloader

Trec Twitter Collection Downloader

trec_eval

Evaluation software used in the Text Retrieval Conference

tree-death-physiological-models