Deep learning framework to train, deploy, and ship AI products Lightning fast.

Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.

List of papers on hallucination detection in LLMs.

Streamlit PDF viewer

Structured Text Generation

PyTorch tutorials.

🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools

Repository for research in the field of Responsible NLP at Meta.

The Console that makes Appwrite tick from the browser 🖥

A Python package to assess and improve fairness of machine learning models.

The Appwrite website, docs and blog 🏠

Use any linux distribution inside your terminal. Enable both backward and forward compatibility with software and freedom to use whatever distribution you’re more comfortable with. Mirror available…

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your d…

A unified multi-backend utility for benchmarking Transformers and Diffusers with support for Optimum's arsenal of hardware optimizations/quantization schemes.

Frontend components, documentation and information hosted on the Hugging Face website.

State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

An ecosystem of Rust libraries for working with large language models

Easy, fast and very cheap training and inference on AWS Trainium and Inferentia chips.

Lightweight web API for visualizing and exploring all types of datasets - computer vision, speech, text, and tabular - stored on the Hugging Face Hub

Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and integrated with your favorite AWS services

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

GitHub repository for ANLPIR 2018 course.