Stage-based scientific workflows for deep learning experiments with geometric algebra
Project description
Flowws Modules for Geometric Algebra Attention Experiments
flowws-keras-geometry is a set of
flowws modules to train machine
learning models using geometric algebra operations in tensorflow and
keras. It contains modules for data sources, architectures for sample
tasks, and analysis and visualization of trained models.
Installation
Install flowws-keras-geometry from source:
pip install git+https://github.com/klarh/flowws-keras-geometry.git#egg=flowws-keras-geometry
API Documentation
Build the sphinx documentation from source:
git clone https://github.com/klarh/flowws-keras-geometry
cd flowws-keras-geometry/doc
pip install -r requirements.txt
make html
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file flowws-keras-geometry-0.5.1.tar.gz.
File metadata
- Download URL: flowws-keras-geometry-0.5.1.tar.gz
- Upload date:
- Size: 37.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c6f9235d8977958746c02057e1cddab3d02f45ec2d17850f87a4fe8543d399b2 |
|
| MD5 | a642331b9cf6157e87691af4b3a4727a |
|
| BLAKE2b-256 | 0514f87a1490782195618b27650de622d8b09a2df0c6f7f9eb0a5fa7e693671c |
Provenance
File details
Details for the file flowws_keras_geometry-0.5.1-py3-none-any.whl.
File metadata
- Download URL: flowws_keras_geometry-0.5.1-py3-none-any.whl
- Upload date:
- Size: 53.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 527ff0c0de3cefef3ece79659ae67e264f47ea68a9d8f1c04fe7c6471986f5f4 |
|
| MD5 | 347af4804ec0cefde6b7f3852e21d646 |
|
| BLAKE2b-256 | 538b19eb865d765fda539852b2a7e2fe059fe88e467ddace39800e4525f8b06d |
