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tmap

A very fast visualization library for large, high-dimensional data sets.

tmtoolkit

Text Mining and Topic Modeling Toolkit for Python with parallel processing power

toad

ESC Team's credit scorecard tools.

tods

TODS: An Automated Time-series Outlier Detection System

tokenizers

💥Fast State-of-the-Art Tokenizers optimized for Research and Production

torch-quiver

PyTorch Library for Fast and Easy Distributed Graph Learning

torchextractor

Feature extraction made simple with torchextractor

torchkge

TorchKGE: Knowledge Graph embedding in Python and PyTorch.

torchopt

torchssl

A PyTorch-based library for semi-supervised learning

totto

ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table and a set of highlighted table cells, produce a one-sentence description. We hope it can serve as a useful research benchmark for high-precision conditional text generation.

tr

Free Offline OCR 离线的中文文本检测+识别SDK

traceback_with_variables

Adds variables to python traceback. Simple, lightweight, controllable. Debug reasons of exceptions by logging or pretty printing colorful variable contexts for each frame in a stacktrace, showing every value. Dump locals environments after errors to console, files, and loggers. Works in Jupyter and IPython. Install with pip or conda.

trading-evil-collect

爬取收集我大A股 存在负面信息的上市公司名称，违规，处罚信息，实在太多了。。http://www.kapaidashu.org/evil/app.php

trading-momentum-transformer

This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).

trading-strategy-based-on-sector-rotation

tradingenvironment

a bacaktest framework

training

Reference implementations of training benchmarks

transformer

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model

transformer_str

PyTorch implementation of my new method for Scene Text Recognition (STR) based on Transformer,Equipped with Transformer, this method outperforms the best model of the aforementioned deep-text-recognition-benchmark by 7.6% on CUTE80.

transformerquant

A framework for training and evaluating deep learning models in Quantitative trading domain

transformers

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

transformers-data-augmentation

Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper

transformers-tutorials

Github repo with tutorials to fine tune transformers for diff NLP tasks

transtab

TransTab: A flexible tabular prediction model amenable to variable-column tables.

tree

tree is a library for working with nested data structures

trwebocr

开源易用的中文离线OCR，识别率媲美大厂，并且提供了易用的web页面及web的接口，方便人类日常工作使用或者其他程序来调用~

tsa4-python

This is the code in Python for the first 3 chapters of the book R. Shumway, D. Stoffer - Time Series Analysis and Its Applications.

tsbs

Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data