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deep_learning_paper mikeninerbravog · COMPLETED

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

github.com/mikeninerbravog/deep_learning_paper · ★ 0 · Forks 0 · Size 152.4 MB

SUMMARY

Technologies 9
Scored 9
Observed 9
Practices 6
Evidence 10
Skips 0

COVERAGE

Analyzed 2171 files · 902 commits · 0 API calls

TECHNOLOGIES & DEPTH

JSON LANGUAGE Depth 70
738 files · PRODUCTION
Markdown LANGUAGE Depth 70
39 files · PRODUCTION
XML LANGUAGE Depth 70
4 files · PRODUCTION
YAML LANGUAGE Depth 70
2 files · PRODUCTION
Python LANGUAGE Depth 70
227 files · PRODUCTION
JavaScript LANGUAGE Depth 70
4 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 74
27 files · PRODUCTION
TypeScript LANGUAGE Depth 66
3 files · PRODUCTION

PRACTICES

documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent

ACTIVITY & OWNERSHIP

First commit 2020-08-25
Last commit 2026-07-12
Active months 53
Commits 902

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