Skip to main content

Library for geometric algebra-based attention mechanisms

Project description

PyPI ReadTheDocs

Introduction

This is a library in development for implementing geometric algebra attention mechanisms (as detailed in the paper Geometric Algebra Attention Networks for Small Point Clouds in tensorflow, keras, pytorch, and jax.

Installation

The latest tagged version of geometric-algebra-attention is available on PyPI for installation via pip:

$ pip install geometric-algebra-attention

Alternatively, install the package from source:

$ git clone https://github.com/klarh/geometric_algebra_attention
$ pip install ./geometric_algebra_attention

Documentation

The documentation is available as standard sphinx documentation:

$ cd doc
$ pip install -r requirements.txt
$ make html

Automatically-built documentation is available at https://geometric-algebra-attention.readthedocs.io .

Examples

Jupyter notebook examples for various backends are available in the examples directory of the source repository.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

geometric_algebra_attention-0.5.1.tar.gz (54.7 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file geometric_algebra_attention-0.5.1.tar.gz.

File metadata

File hashes

Hashes for geometric_algebra_attention-0.5.1.tar.gz
Algorithm Hash digest
SHA256 6f27b1cc5d6a8bc606540a2bbc57d5c6f5766eeca41e1f9da2f22fcf1eb26168
MD5 bf6bf99fde5cfb8bed3b6ba4fc111d96
BLAKE2b-256 769be7000869a358a1846ffb5bbab1bb7adc56ca28457281f9461f7a7ed29b7a

See more details on using hashes here.

Provenance

File details

Details for the file geometric_algebra_attention-0.5.1-py3-none-any.whl.

File metadata

File hashes

Hashes for geometric_algebra_attention-0.5.1-py3-none-any.whl
Algorithm Hash digest
SHA256 316bb0897eb551e84a776c13b9b151eb75d3391f626aa261b7ad60816826e2e8
MD5 45170c96fe5472967ae13f4e4d2d37bf
BLAKE2b-256 38f37676323a3fe175a6e27a9c7500d96a79486b89dc81c2ccb5a77177ec5d3b

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page