stas00 / ml-engineering
Machine Learning Engineering Open Book
Why this job: works in the areas we cover, but does not say which job it does
What it does
This is 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.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 8 days ago
- Stars
- 19,702
- +32 this week
- Licence
- CC-BY-SA-4.0
- Read the terms
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 92% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 90 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| GeeeekExplorer / nano-vllm | 16,396 | 6 months ago | MIT | No downloads |
| SwanHubX / SwanLab | 4,375 | today | Apache-2.0 | No downloads |
| rasbt / MachineLearning-QandAI-book | 973 | 11 months ago | BSD-3-Clause | No downloads |
More: languages, topics and project record
Languages
- Python 92%
- Shell 7%
- Makefile 1%
- CSS 1%
Topics
- pytorch
- slurm
- large-language-models
- llm
- machine-learning
- scalability
- transformers
- machine-learning-engineering
- mlops
- ai
- inference
- training
Project record
- JobOther AI tools
- StatusListed
- Commits1,287
- Forks1,301
- Watching156
- Stars in 28 days+189
- CreatedSep 2, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026

