# minitorch/minitorch

The full minitorch student suite.

Repository: https://github.com/minitorch/minitorch
Canonical: https://ross.abutalabs.com/products/minitorch
Language: Python
License Family: other
Last push: 2024-08-17T13:00:37+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 1731, "days_push": 746, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2402, forks 563 (observed 2026-08-28T04:06:43.838121+00:00)

## What it is
Minitorch is a student-built deep learning framework suite where learners implement a mini PyTorch-like tensor library with autograd, operators, and GPU kernels module by module. It accompanies an educational course with GitHub Classroom autograded assignments.

## Use cases
- learn how autograd works by implementing it from scratch
- build a mini deep learning framework in python
- course assignment on implementing tensor operations and backpropagation
- understand gpu kernels for deep learning
- teach a deep learning systems course with autograded modules

## When to choose
- you want to deeply understand how frameworks like pytorch work internally
- you are a student following the minitorch course or similar curriculum
- you want hands-on practice implementing autodiff and tensor ops

## When to avoid
- you need a production-ready deep learning framework
- you want pretrained models or a high-level training api
- you need a maintained library with a license for commercial use

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, llm-training
- domain: deep-learning, education, machine-learning
- platform: python, cross-platform
- tags: educational, autograd, tensor-library, course-material, student-project

## Member repositories
- minitorch/minitorch (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:43.838121+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:34:13.413201+00:00, confidence not recorded.
  - readme: https://github.com/minitorch/minitorch (fetched 2026-08-28T04:06:43.838121+00:00, sha 630b40ebcd50)
- Data as of 2026-08-30T08:39:29.467469+00:00.