AccelForge

AccelForge is a framework to model and design tensor algebra and deep neural network accelerators.

Quick Start

New to AccelForge? Start with the User Guide for installation instructions, examples, and an introduction to key concepts.

The accelforge repo includes tutorials and examples to help you get started.

pip install accelforge jupyterlab ipywidgets
git clone https://github.com/accelergy-project/accelforge.git
cd accelforge/notebooks/tutorials
jupyter notebook

Documentation

User Guide

The User Guide contains everything you need to get started with AccelForge, including installation, tutorials, and core concepts.

API Reference

The API Reference provides detailed documentation of all AccelForge modules, classes, and functions.

Citing AccelForge

If you use AccelForge in your work, please refer to Citing AccelForge for how to cite the relevant projects.

Contributing to AccelForge

We welcome contributions to AccelForge! If you’d like to contribute, please see Contributing for how to get started.

Source Code

The AccelForge source code is available on GitHub.