https://github.com/adavoudi/spdnet

Implementation of Deep SPDNet in pytorch
https://github.com/adavoudi/spdnet

deep-learning dimensionality-reduction pytorch riemannian-geometry riemannian-manifold riemannian-optimization symmetric-positive-definite

Last synced: about 1 year ago
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Implementation of Deep SPDNet in pytorch

• Host: GitHub
• URL: https://github.com/adavoudi/spdnet
• Owner: adavoudi
• License: mit
• Created: 2018-01-26T17:17:59.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2023-09-23T11:13:01.000Z (over 2 years ago)
• Last Synced: 2025-04-14T15:14:20.392Z (about 1 year ago)
• Topics: deep-learning, dimensionality-reduction, pytorch, riemannian-geometry, riemannian-manifold, riemannian-optimization, symmetric-positive-definite
• Language: Python
• Size: 51.8 KB
• Stars: 64
• Watchers: 1
• Forks: 11
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
You can choose _one_ of the following two ways to get started with spdnet.

1. Let pip install spdnet globally in dev mode (still globally accessible, but changes to the code immediately take effect)

    ```bash

    $ pip3 install -e .

    ```

2. Install with pip globally

    ```

    $ pip3 install .

    ```