dumpmemory,github

torchdynamo

A Python-level JIT compiler designed to make unmodified PyTorch programs faster.

torchtyping

Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.

torrent

Full-featured BitTorrent client package and utilities

torrodle

⚡️ A magnet link scraper for streaming videos (movies, tv shows, anime, porn) along with subtitles.

toshiki-proxypool

🧸 A magical scraper that automatically crawl SS, SSR, vmess, trojan node info from web, Telegram Channels, and localize/integrate into a web panel for convenient usages

tr-bert

Source code for NAACL 2021 paper "TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference"

trackerslistcollection

🎈 Updated daily! A list of popular BitTorrent Trackers! / 每天更新！全网热门 BT Tracker 列表！⭐++

trader

A framework that automated cryptocurrency exchange with strategy

trans-encoder

Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations

transfer.sh

Easy and fast file sharing from the command-line.

transformer-deploy

Deploy optimized transformer based models in production

transformer-explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

transformer-in-vision

Recent Transformer-based CV and related works.

transformer-ls

Official implementation of Long-Short Transformer in PyTorch.

Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

transformer-ocr

Handwritten text recognition using transformers.

transformer-sequential

The code for two papers: Feedback Transformer and Expire-Span.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

transformers-interpret

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

transformers-language-modeling

Train 🤗transformers with DeepSpeed: ZeRO-2, ZeRO-3

transformers-lightning

A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transformers.

transformersdataaugmentation

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

transformersum

Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

treemap

Generic sorted map for Go with red-black tree under the hood

trime

Training Language Models with Memory Augmentation https://arxiv.org/abs/2205.12674

triton

Development repository for the Triton language and compiler

triton-transformer

Implementation of a Transformer, but completely in Triton

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