# mni-ml/framework

A machine learning library with a TypeScript API and Rust backend. CUDA and WebGPU compatibility. Built to understand how ML frameworks and models work internally.

Repository: https://github.com/mni-ml/framework
Canonical: https://ross.abutalabs.com/products/mni-ml-framework
Homepage: http://mni.ml
Language: Rust
License: MIT
License Family: permissive
Topics: machine-learning, pytorch-implementation, webgpu, cuda, cuda-kernels, rust
Last push: 2026-04-20T15:40:12+00:00

## Health v2 (maintenance only)
Score: 51/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 78, release rhythm 35, longevity 17
- inputs: {"age_days": 238, "days_push": 135, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1002, forks 130 (observed 2026-09-03T02:15:15.161686+00:00)

## Summary
No AI-extracted summary yet.

## Member repositories
- mni-ml/framework (main) score 51

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:15.161686+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Data as of 2026-08-30T08:39:29.467469+00:00.