Popular GitHub Repositories for Oil 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.

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

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

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

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.

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?

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

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.

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

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

TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

Production-ready Claude subagents collection with 77+ specialized AI agents for full-stack development, DevOps, data science, and business operations.

PraisonAI is a production-ready Multi AI Agents framework, designed to create AI Agents to automate and solve problems ranging from simple tasks to complex challenges. It provides a low-code solution to streamline the building and management of multi-agent LLM systems, emphasising simplicity, customisation, and effective human-agent collaboration.

The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai

ZenML ?: The bridge between ML and Ops. https://zenml.io.