Awesome Feature Store

A curated list of awesome open source libraries to deploy, monitor, version, and scale machine learning systems in production. Focuses on MLOps, model serving, and production-ready ML tools.

Curated list of tools, frameworks, platforms, papers, and resources for Machine Learning Operations (MLOps) - the intersection of ML, DevOps, and data engineering.

A curated collection of tools, frameworks, platforms, and best practices for operationalizing Large Language Models, covering deployment, monitoring, evaluation, and production workflows.

Study notes and a curated list of awesome resources for Artificial Intelligence, Machine Learning and Deep Learning including frameworks, tutorials, research papers, and educational materials.

A comprehensive curated list covering all machine learning topics including learning paradigms, tasks, applications, models, ethics, cross-disciplinary areas, datasets, frameworks, and tutorials.

The Full-Stack LLM Engineering Playbook featuring architectural patterns for AI Agents with MCP and RAG, coupled with advanced post-training recipes including SFT, DPO, and QLoRA for domain adaptation, covering data pipelines, evaluation frameworks, and system design.