JesperDramsch/ml.recipes
Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tutorial focuses on basics that work. Getting you 90% of the way to top-tier reproducibility.
Stars
76
Forks
17
Language
HTML
License
MIT
Category
Last pushed
Nov 21, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/JesperDramsch/ml.recipes"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
numerai/example-scripts
A collection of scripts and notebooks to help you get started quickly.
musicinformationretrieval/musicinformationretrieval.com
Instructional notebooks on music information retrieval.
Arm-Examples/ML-examples
Arm Machine Learning tutorials and examples
akabe/ocaml-jupyter
An OCaml kernel for Jupyter (IPython) notebook
trekhleb/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math...