Popular GitHub Repositories for Software Production

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

? The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

Deepfakes Software For All

?? - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

Learn how to design, develop, deploy and iterate on production-grade ML applications.

A complete daily plan for studying to become a machine learning engineer.

? Papers & tech blogs by companies sharing their work on data science & machine learning in production.

? Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of models, rules, prompts, docs, and other building blocks

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Turns Data and AI algorithms into production-ready web applications in no time.

DeepFaceLab is the leading software for creating deepfakes.

Self-Hosting Guide. Learn all about locally hosting (on premises & private web servers) and managing software applications by yourself or your organization. Including Cloud, LLMs, WireGuard, Automation, Home Assistant, and Networking.

A curated list of references for MLOps

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.

Autoware - the world's leading open-source software project for autonomous driving