ML-From-Scratch ThomasJButler · COMPLETED
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
github.com/ThomasJButler/ML-From-Scratch · ★ 1 · Forks 0 · Size 554 KB
SUMMARY
Technologies 6
Scored 6
Observed 6
Practices 6
Evidence 7
Skips 0
COVERAGE
Analyzed 89 files · 375 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
82 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 74
74 files · PRODUCTION
TypeScript LANGUAGE Depth 74
6 files · PRODUCTION
pandas LIBRARY Depth 74
9 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2017-02-05
Last commit 2025-06-29
Active months 19
Commits 375