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Reproducible development environment for humans and agents
Build a production-ready LLM & RAG system using LLMOps best practices
High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI.
The open source AI engineering platform for agents, LLMs, and ML models
Build multimodal AI applications with cloud-native stack
End-to-end, code-first tutorials for building production-grade GenAI agents
Machine Learning Engineering Open Book
The absolute trainer to light up AI agents.
Open-source vector database for semantic search
Self-Hosting LLMs Made Easy
Human-centric framework to build and manage AI/ML systems
Deeplake: AI Data Runtime for Agents
The easiest way to serve AI apps and models
Evidently is an open-source ML and LLM observability framework.
ClearML - Auto-Magical CI/CD for AI workloads
Ship AI Agents to Google Cloud in minutes, not months
Curated list of LLMOps tools for developers
Eval and test library for AI agents
One AI Platform From Pipelines to Agents
End-to-end framework for building custom AI applications and agents.
Official repository for LLM Engineer's Handbook
Cube Studio开源一站式云原生机器学习平台
Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.
Apache Hamilton helps define testable, modular, self-documenting dataflows.
Build applications that make decisions with Apache Burr.
Community maintained hardware plugin for vLLM on Ascend
🤖 Self-modifying Framework from the Future 🔮 World's First AMS
CubeStudio是开源云原生一站式机器学习/深度学习/AI平台
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Unified multimodal backend for AI data apps
Motorhead is a memory and information retrieval server for LLMs (DEPRECATED)
Neum AI is a best-in-class framework for managing vector embeddings at large scale.
VectorHub: A Learning Hub for Vector Retrieval in ML
Smoothly Manage Multiple LLMs and Image Models, Speed Up Responses, and Ensure Non-Stop Reliability