#transformer

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

🤗 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.

A high-throughput and memory-efficient inference and serving engine for LLMs

Ongoing research training transformer models at scale

Scalable and user friendly neural :brain: forecasting algorithms.

SGLang is a high-performance serving framework for large language models and multimodal models.

PyTorch native quantization and sparsity for training and inference

A framework for few-shot evaluation of language models.

Validate XML, Parse XML and Build XML rapidly without C/C++ based libraries and no callback.

The AWS Amplify CLI is a toolchain for simplifying serverless web and mobile development. This plugin provides functionality for the API category, allowing for the creation and management of GraphQL and REST based backends for your amplify project.

The Yjs CRDT WebSocket backend for conflict-free real-time collaboration in your app.