TOrchLessCUDA ANSHAM1 · COMPLETED
TorchLessCUDA is a deep learning framework built entirely from scratch using Modern C++20 and CUDA, implementing tensor operations, GPU training, and inference without relying on existing machine learning frameworks.
github.com/ANSHAM1/TOrchLessCUDA · ★ 1 · Forks 0 · Size 23.1 MB
SUMMARY
Technologies 5
Scored 5
Observed 5
Practices 6
Evidence 5
Skips 0
COVERAGE
Analyzed 52 files · 85 commits · 0 API calls
TECHNOLOGIES & DEPTH
C++ LANGUAGE Depth 70
22 files · PRODUCTION
JSON LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
2 files · PRODUCTION
YAML LANGUAGE Depth 70
1 files · PRODUCTION
TypeScript LANGUAGE Depth 81
7 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · observedcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-07-12
Last commit 2026-08-16
Active months 8
Commits 85