2026-10 MLOps & Evaluation 分类最佳 AI 开源项目
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.
jingyaogong/minimind（项目数据尚未同步）
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
Open-Source Agent Observability & Evals for AI Platform teams. Trace, test, route and govern every agent & coding assistant in the company.
🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.
🚀 Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support
Workflow Engine for Kubernetes
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.