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Modeling, training, eval, and inference code for OLMo

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

Efficient Triton Kernels for LLM Training

TensorFlow documentation

Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google

Upserts, Deletes And Incremental Processing on Big Data.

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

an ambient intelligence library

A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.

A scikit-learn compatible neural network library that wraps PyTorch

🐬DeepChat - A smart assistant that connects powerful AI to your personal world

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

结合知识库、知识图谱管理的 多租户 Agent Harness 平台。 An agent harness that integrates a LightRAG knowledge base and knowledge graphs. Build with LangChain + Vue + FastAPI, support DeepAgents、MinerU PDF、Neo4j 、MCP.

A system for quickly generating training data with weak supervision

🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓

FlashInfer: Kernel Library for LLM Serving

A model-driven approach to building AI agents in just a few lines of code.

LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.

Open-source scientific and technical publishing system built on Pandoc.

Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.

A treasure chest for visual classification and recognition powered by PaddlePaddle

The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!

An automated document analyzer for Paperless-ngx using OpenAI API, Ollama, Deepseek-r1, Azure and all OpenAI API compatible Services to automatically analyze and tag your documents.

PyTorch native post-training library

A simple SWE style browser agent framework that achieves SOTA results on long horizon web tasks.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI

Democratizing Reinforcement Learning for LLMs

Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

Model interpretability and understanding for PyTorch