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An Open Source Machine Learning Framework for Everyone

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Visualizer for neural network, deep learning and machine learning models

Fast, small, and fully autonomous AI personal assistant infrastructure, any OS, any platform — deploy anywhere, swap anything 🦀

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Open standard for machine learning interoperability

MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.

Machine Learning Toolkit for Kubernetes

Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.

Low-code framework for building custom LLMs, neural networks, and other AI models

TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Build, Manage and Deploy AI/ML Systems

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.

Open-source observability for your GenAI or LLM application, based on OpenTelemetry

The Open Source Feature Store for AI/ML

Postgres with GPUs for ML/AI apps.

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

[Unmaintained, see README] An ecosystem of Rust libraries for working with large language models

Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade execution.

Learn AI and LLMs from scratch using free resources

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.

A blazing fast inference solution for text embeddings models

Install, run and deploy your own decentralized AI agent service

An Engine-Agnostic Deep Learning Framework in Java

modular quant framework.