stas00/ml-engineering
Agent skills in the GitHub repository stas00/ml-engineering, each with its code score out of 100.
Machine Learning Engineering Open Book
- Repository score
- 40 / 100 D
- Skills
- 3
- Verified
- 0
- Average skill score
- 49
- GitHub stars
- 19,702
- License
- CC-BY-SA-4.0
Open stas00/ml-engineering on GitHub
3 skills in this repository
-
evaluate-cluster
Evaluates an ML GPU cluster for a cloud trial or acceptance test: environment dump, isolated newest PyTorch, matmul FLOPS (MAMF/MSMF) on every GPU while the others compute, intra-…
67C -
ml-engineering
Field-tested methodology and concrete recipes for training and operating large-scale LLM/VLM/multi-modal models end to end - choosing and benchmarking accelerators, storage and ne…
55C -
25F
Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.