jepa-wms plxavier · PARTIAL
Code, data and weights for the paper **What drives success in physical planning with Joint-Embedding Predictive World Models?**
github.com/plxavier/jepa-wms · ★ 0 · Forks 0 · Size 11.7 MB
SUMMARY
Technologies 11
Scored 9
Observed 9
Practices 6
Evidence 12
Skips 2
COVERAGE
Analyzed 305 files · 2 commits · 0 API calls
TECHNOLOGIES & DEPTH
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
6 files · PRODUCTION
YAML LANGUAGE Depth 70
166 files · PRODUCTION
XML LANGUAGE Depth 70
2 files · PRODUCTION
Python LANGUAGE Depth 70
112 files · PRODUCTION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
Black QUALITY Depth —
0 files · config only
NumPy LIBRARY Depth 85
45 files · PRODUCTION, TEST
TypeScript LANGUAGE Depth 77
4 files · PRODUCTION
pandas LIBRARY Depth 81
5 files · PRODUCTION
pytest TESTING Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-01-08
Last commit 2026-01-08
Active months 1
Commits 2