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

High performance model preprocessing library on PyTorch

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

Development repository for the Triton language and compiler

VaLM: Visually-augmented Language Modeling

Paper List for In-context Learning 🌷

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

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

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

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

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

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

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

Multi-Task Deep Neural Networks for Natural Language Understanding

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

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