annotated_deep_learning_paper_implementations sbusso · COMPLETED
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
github.com/sbusso/annotated_deep_learning_paper_implementations · ★ 1 · Forks 0 · Size 142.1 MB
SUMMARY
Technologies 9
Scored 9
Observed 9
Practices 6
Evidence 10
Skips 0
COVERAGE
Analyzed 1542 files · 681 commits · 0 API calls
TECHNOLOGIES & DEPTH
JSON LANGUAGE Depth 70
457 files · PRODUCTION
Markdown LANGUAGE Depth 70
39 files · PRODUCTION
YAML LANGUAGE Depth 70
2 files · PRODUCTION
XML LANGUAGE Depth 70
3 files · PRODUCTION
Python LANGUAGE Depth 70
209 files · PRODUCTION
JavaScript LANGUAGE Depth 70
3 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 74
25 files · PRODUCTION
TypeScript LANGUAGE Depth 62
2 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2020-08-25
Last commit 2022-11-13
Active months 27
Commits 681