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apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

coarse2fine

confidence

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

hrformer

This is an official implementation of the High-Resolution Transformer for Dense Prediction.

icl_paperlist

Paper List for In-context Learning 🌷

lang2logic

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

mt-dnn

Multi-Task Deep Neural Networks for Natural Language Understanding

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

refqa

The implementation of the paper "Harvesting and Refining Question-Answer Pairs for Unsupervised QA"

stopes

A library for preparing data for machine translation research (monolingual preprocessing, bitext mining, etc.) built by the FAIR NLLB team.

torcharrow

High performance model preprocessing library on PyTorch

transformers_2.10.0

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

triton

Development repository for the Triton language and compiler

valm

VaLM: Visually-augmented Language Modeling

wmt-trueskill

Data and code used in the 2014 WMT, "Efficient Elicitation of Annotations for Human Evaluation of Machine Translation"

xnlg

AAAI-20 paper: Cross-Lingual Natural Language Generation via Pre-Training