** THIS REPO HAS MOVED TO https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-mcp-adapters ** Adapters for integrating Model Context Protocol (MCP) tools with LangChain.js applicat…

Build resilient language agents as graphs.

⏩ Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of models, rules, prompts, docs, and other building blocks

Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]

🦜🔗 Build context-aware reasoning applications

🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

LLM UI with advanced features, easy setup, and multiple backend support.

LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

Bot Framework provides the most comprehensive experience for building conversation applications.

Tesseract Open Source OCR Engine (main repository)

A natural language interface for computers

An app that brings language models directly to your phone.

The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

Video+code lecture on building nanoGPT from scratch

Ongoing research training transformer models at scale

A framework for few-shot evaluation of language models.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

Development repository for the Triton language and compiler

IREE's PyTorch Frontend, based on Torch Dynamo.

A retargetable MLIR-based machine learning compiler and runtime toolkit.

Deep learning for dummies. All the practical details and useful utilities that go into working with real models.

The hub for EleutherAI's work on interpretability and learning dynamics

An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries