Machine Learning Engineering Open Book is a Python repository with a large collection of methodologies and scripts for training and fine-tuning large language and multi-modal models, plus debugging and inference guidance. It hosts an extensive set of sections and references for ML engineering workflows.
Collecting history — the radar snapshots this repo daily. The trend line appears after 3 days of data (1 so far).
What it is
Machine Learning Engineering Open Book. This repo is described as an open collection of methodologies, tools and step by step instructions to help with successful training and fine-tuning of large language models and multi-modal models and their inference.
How it works
The project aggregates manuals, guides and scripts across parts like Insights, Hardware, Orchestration, Training, Inference, Development, and Miscellaneous. It includes a SKILL.md for AI agents and links to additional resources, lectures, and discussions. It references example models and training experiences (e.g., BLOOM-176B, IDEFICS-80B) and provides sources and pathways to download ebook formats and build instructions.
Getting started
The README points to ebook formats and a build process, with links to download PDFs and EPUBs and to a build guide. It also notes that the SKILL.md file exists in the repository for training AI agents. Specific commands to install or run are not included in the excerpt provided, but the table of contents and sections indicate a structure for guides and scripts.
Recent releases
RELEASES (latest 0):
- none
Traction
stars_7d present: 18513; stars_1d present: 18513
Behind the repo
This repository is authored by Stas and references affiliations with Contextual.AI and HuggingFace in the narrative, with links to related open books and a credit trail to contributors.
Caveats
License: CC-BY-SA-4.0. Creation date: 2020-09-02. Last push: 2026-08-03. Language: Python. Open issues: 2. Topics include ai, debugging, gpus, inference, large-language-models, llm, machine-learning, mlops, slurm, training, transformers. The README includes various external links and ebook hosting instructions but does not provide a minimal installation command set in the extracted text.