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mkdocs.yml
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42 lines (34 loc) · 927 Bytes
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site_name: Dynamic Mode Decomposition Autoencoder
site_description: This is a collection of Python subroutines and examples that illustrate how to train a Dynamic Mode Decomposition Autoencoder.
# site_url:
repo_url: https://github.com/opaliss/dmd_autoencoder
theme:
name: material
language: en
palette:
primary: black
accent: indigo
nav:
- Home: index.md
- DMD and Koopman: dmd.md
- Model: model.md
- Loss: loss.md
- Discrete Dataset: example1.md
- Pendulum Dataset: example2.md
- Slow Fluid Flow Dataset: example3.md
- Hyper-parameters: hyperparams.md
- Setup: setup.md
markdown_extensions:
- codehilite:
linenums: true
- admonition
- attr_list
- pymdownx.critic
- pymdownx.mark
- pymdownx.tabbed
- pymdownx.arithmatex
extra_javascript:
- https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.0/MathJax.js?config=TeX-MML-AM_CHTML
plugins:
- search:
lang: en