Mach GitHub Repositories (2026) · Open Source Tools

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!

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

[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]

Virtual machines for iOS and macOS

scikit-learn: machine learning in Python

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

Secure and fast microVMs for serverless computing.

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

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

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

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)