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Stars gained: From May 8, 2026 to Nov 13, 2026, each from zeroStars gainedFrom May 8, 2026 to Nov 13, 2026, each from zero0200400May 8Nov 13, 2026neonwatty/machine-learning-refineddeepchecks/deepchecks
Stars: The star count at the end of each dayStarsThe star count at the end of each day2K3K4KApr 26Nov 13, 2026neonwatty/machine-learning-refineddeepchecks/deepchecks

Facts

Fact neonwatty/machine-learning-refined

Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.

deepchecks/deepchecks

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Stars 2,3134,069
Net stars, last 30 days +13+6
Largest star day +67 on Jun 6, 2026+4 on Aug 13, 2026
Milestone reached in the record NoneNone
Forks 710302
Language PythonPython
License Other licenseOther license
Created Aug 12, 2016Oct 11, 2021
Last push Oct 12, 2026Dec 28, 2025
Archived NoNo
Health facts: Maintenance 2 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases 1 of 3 checks (1 without data)1 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 11, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: machine-learning, deep-learning, data-science, jupyter-notebook, python. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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