#huggingface

Train transformer language models with reinforcement learning.

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

A library for training and deploying machine learning models on Amazon SageMaker

AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.

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

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.

Redis Vector Library (RedisVL) -- the AI-native Python client for Redis.

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM

Use Hugging Face with JavaScript

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.

xet client tech, used in huggingface_hub

Chronos: Pretrained Models for Time Series Forecasting

One TypeScript interface for 24+ LLM providers — swap providers without rewriting. MCP-native (58+ servers), voice (TTS/STT/realtime), RAG, memory, file processors. Production-origin: powers Tara, Yama, and Clairvoyance at Juspay.