# ACME Digit Classification

A machine learning framework for handwritten digit recognition, developed as part of the FYS-8805 Collaborative Coding course at UiT. Supports three datasets (MNIST, SVHN, USPS) via a unified CLI and Python API. 

This document includes a User Guide for installation and CLI usage, an API Reference for the Python modules, and an Individual Contributions section describing each team member's work.

:::{toctree}
:maxdepth: 2
:caption: Table of contents

about.md
development.md
lumi.md
individual.md
api.md
:::