🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Efficient Triton Kernels for LLM Training

A high-performance algorithmic trading platform and event-driven backtester

Grapheme-to-phoneme tool for corpus conversion, where phonemes match Phoible inventories

⚙️🦀 Build portable, modular & lightweight Fullstack Agents

Brand new TTS solution

Fast and memory-efficient exact attention

Minimalist ML framework for Rust

Asynchronous Programming in Rust, published by Packt

⚡ Building applications with LLMs through composability ⚡

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Trace FastAPI with Jaeger through OpenTelemetry Python API and SDK.

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

Bitnami Helm Charts

Vector Quantization, in Pytorch

Rust HTTP types

Recipes for the ConanCenter repository

NeMo: a toolkit for conversational AI

`std::execution`, the proposed C++ framework for asynchronous and parallel programming.

A service proxy that provides API management capabilities using Google Service Infrastructure.