machine-learning-implementations Nikelroid · COMPLETED
A comprehensive educational repository featuring "from-scratch" implementations of fundamental machine learning, deep learning, and reinforcement learning algorithms in Python, designed to illustrate the mathematical core of models without reliance on high-level frameworks.
github.com/Nikelroid/machine-learning-implementations · ★ 0 · Forks 0 · Size 19.0 MB
SUMMARY
Technologies 6
Scored 6
Observed 6
Practices 6
Evidence 6
Skips 0
COVERAGE
Analyzed 104 files · 11 commits · 0 API calls
TECHNOLOGIES & DEPTH
JSON LANGUAGE Depth 70
9 files · PRODUCTION
Shell LANGUAGE Depth 70
3 files · PRODUCTION
Markdown LANGUAGE Depth 70
5 files · PRODUCTION
Python LANGUAGE Depth 70
35 files · PRODUCTION
NumPy LIBRARY Depth 74
28 files · PRODUCTION, TEST
pandas LIBRARY Depth 74
5 files · PRODUCTION, TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-11-26
Last commit 2026-08-14
Active months 2
Commits 11