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Open Source AI Infra & Engineering Control Plane

Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.

The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

🤖Self-Modifying Framework from the Future 🔮 World's First AMS

🏕️ Reproducible development environment for humans and agents

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

Automated Machine Learning on Kubernetes

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

📊 llm.report is an open-source logging and analytics platform for OpenAI: Log your ChatGPT API requests, analyze costs, and improve your prompts.

Deploy any AI model, agent, database, RAG, and pipeline locally or remotely in minutes

Cookiecutter template for FastAPI projects using: Machine Learning, uv, Github Actions and Pytests

Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

Start building and deploying Python packages and Docker images for MLOps tasks.

The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tasks with tips.