Top MACHINE-LEARNING GitHub Repositories & Tools (2026)

Learn it. Build it. Ship it for others.

Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.

Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.

12 Weeks, 24 Lessons, AI for All!

[Public preview] Externally scored agentic ML research benchmark: 60 tasks, real competition ground truth. Open protocol, operated evaluation.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

The fastest path to AI-powered full stack observability, even for lean teams.

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]

scikit-learn: machine learning in Python

Tiny post-quantum encryption for sensitive data. Write-only by design. ML-KEM-768 + X25519 + AES-256-GCM. Please break it.

Streamlit — A faster way to build and share data apps.

The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.

Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

A community-supported supercharged document management system: scan, index and archive all your documents

Cross-platform, customizable ML solutions for live and streaming media.

Build voice agents with open-source models

A deep real-time brain that learns from experience. Patches repair local disagreement to reach a coherent brain state. Further repair is driven by that state’s mismatch with reality.

Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.

An Open Source Machine Learning Framework for Everyone