Awesome-Rust-MachineLearning xsa-dev · PARTIAL
This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀
github.com/xsa-dev/Awesome-Rust-MachineLearning · ★ 1 · Forks 0 · Size 30.8 MB
SUMMARY
Technologies 9
Scored 8
Observed 8
Practices 6
Evidence 10
Skips 1
COVERAGE
Analyzed 25 files · 251 commits · 0 API calls
TECHNOLOGIES & DEPTH
JSON LANGUAGE Depth 70
3 files · PRODUCTION
Markdown LANGUAGE Depth 70
3 files · PRODUCTION
YAML LANGUAGE Depth 70
2 files · PRODUCTION
JavaScript LANGUAGE Depth 70
5 files · PRODUCTION
npm BUILD_TOOL Depth 80
1 files · CONFIGURATION
ESLint QUALITY Depth 65
2 files · CONFIGURATION
Prettier QUALITY Depth 61
1 files · CONFIGURATION
React FRAMEWORK Depth 62
2 files · PRODUCTION
Testing Library TESTING Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · observedcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2021-02-23
Last commit 2022-08-16
Active months 16
Commits 251