GitHub / 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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JesperDramsch%2Fml.recipes
PURL: pkg:github/JesperDramsch/ml.recipes
Stars: 74
Forks: 17
Open issues: 0
License: mit
Language: HTML
Size: 12.1 MB
Dependencies parsed at: Pending
Created at: almost 3 years ago
Updated at: 6 months ago
Pushed at: 8 months ago
Last synced at: 2 months ago
Commit Stats
Commits: 61
Authors: 2
Mean commits per author: 30.5
Development Distribution Score: 0.033
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/JesperDramsch/ml.recipes
Topics: jupyter-book, machine-learning, ml4science, python, reproducibility, science, software-sustainability
Funding Links https://dramsch.net/donate