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Updated documentation configuration and links. Adjusted the logo path in conf.py, corrected the GitHub repository link in index.rst, and removed unnecessary comments in torchsom.rst to streamline the documentation structure.
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docs/source/conf.py

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"github_version": "dev",
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"conf_py_path": "/docs/source/",
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}
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html_static_path = ["_static"] # Folder for custom static files (CSS, JS)
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html_logo = "../../logo.jpg" # Project logo shown in the header
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html_static_path = ["_static"]
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html_logo = "logo.jpg"
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# html_favicon = "../../favicon.ico" # Icon shown in the browser tab

docs/source/index.rst

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It is a PyTorch-based library for training and visualizing **Self-Organizing Maps (SOMs)**, a type of unsupervised learning algorithm used for clustering and dimensionality reduction.
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``PyTorch`` makes it easy to integrate this package with other deep learning workflows while benefiting from GPU acceleration.
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If you find this project interesting, we would be grateful for your support by starring ⭐ this `GitHub repository <https://github.com/LouisTier/TorchSOM>`_.
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If you find this project interesting, we would be grateful for your support by starring ⭐ this `GitHub repository <https://github.com/michelin/TorchSOM>`_.
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.. toctree::
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:maxdepth: 5

docs/source/torchsom.rst

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.. torchsom package
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.. ================
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.. Submodules
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.. ----------
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torchsom.core module
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--------------------
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