huggingface/ml-intern
Repowise · Codebase intelligence
huggingface / ml-intern
🤗 ml-intern: an open-source ML engineer that reads papers, trains models, and ships ML models
Languages
- python67.8%
- typescript22.2%
- yaml3.3%
- markdown2.2%
- json2.2%
- dockerfile0.6%
- toml0.6%
- shell0.6%
Explore huggingface/ml-intern
Files, symbols, languages, packages, git intelligence
Interactive view of how files import each other
Files with the most churn and co-change risk
Bus-factor and per-file maintainer maps
Architectural decisions extracted from commits and PRs
Unreachable symbols and unused exports
Module-by-module documentation generated from source
Ask grounded questions over the indexed code
How huggingface/ml-intern works
🤗 ml-intern: an open-source ML engineer that reads papers, trains models, and ships ML models This page is an auto-generated, always-fresh map of the huggingface/ml-intern repository, written primarily in Python. Repowise indexes the source, parses every symbol, computes a dependency graph, mines git history for hotspots and ownership, and lifts the resulting architectural decisions into a wiki you can read or query through MCP.
The codebase has 180 source files, 1,934 symbols, and 9 languages. Git churn analysis flags 40 high-frequency files as hotspots — places where bugs, rewrites, and code review tend to concentrate.
Use the panels above to open the interactive dashboards, or connect this repo to your editor via the Repowise MCP server for grounded answers inside Claude, Cursor, or VS Code.