Repowise · Codebase intelligence
Handwritten digit recognizer built from scratch using NumPy and CuPy. 99.36% accuracy on MNIST.
Handwritten digit recognizer built from scratch using NumPy and CuPy. 99.36% accuracy on MNIST. This page is an auto-generated, always-fresh map of the durvesh-thorat/neurocipher repository, written primarily in Python. Repowise indexes the source, parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, 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 10 source files, 64 symbols, and 3 languages. Git churn analysis flags 0 high-frequency files as hotspots — places where bugs, rewrites, and code review tend to concentrate. The dependency graph clusters into 4 tightly-coupled module communities.
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.
Dependency graph, layered architecture, symbol index, and third-party dependencies