“ml”

Human-centric framework to build and manage AI/ML systems

The open source AI engineering platform for agents, LLMs, and ML models

Machine Learning Engineering Open Book

End-to-end framework for building custom AI applications and agents.

Repository for preparing AI/ML technical interviews with chapters on general coding, ML coding, fundamentals/breadth (including LLMs and multimodal AI), system design, behavioral questions, and more.

Evidently is an open-source ML and LLM observability framework.

Eval and test library for AI agents

One AI Platform From Pipelines to Agents

Build a production-ready LLM & RAG system using LLMOps best practices

Universal LLM Deployment Engine with ML Compilation

VectorHub: A Learning Hub for Vector Retrieval in ML

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

Unified framework for scaling AI and Python applications

Fast, small, and fully autonomous AI personal assistant infrastructure

Convert documents to structured data effortlessly

The easiest way to serve AI apps and models

Open-source observability for your LLM application

Postgres with GPUs for ML/AI applications.

Learn AI and LLMs from scratch using free resources

Official repository for LLM Engineer's Handbook

Evaluation and Tracking for LLM Experiments and AI Agents

Unified multimodal backend for AI data apps

Motorhead is a memory and information retrieval server for LLMs (DEPRECATED)

Fast, streaming indexing, query, and agentic LLM applications in Rust

Build multimodal AI applications with cloud-native stack

Code for Machine Learning for Trading, 3rd edition

Open-source infrastructure for training and evaluating AI agents to control full desktop environments.

Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice