Tutorials
===========

1. Basic Matrix Decomposition (LU, Cholesky, QR, and EVD)
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This tutorial shows the basic usage of this package.
`Google Colab <https://colab.research.google.com/github/chiba-ai-med/PyTorchDecomp/blob/main/docs/notebooks/tutorial_1_basic.ipynb>`_

2. Unsupervised Dimensional Reduction (PCA/SVD, ICA, and NMF)
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This tutorial shows how to decompose a matrix into the matrix product of factor matrices without label information.
`Google Colab <https://colab.research.google.com/github/chiba-ai-med/PyTorchDecomp/blob/main/docs/notebooks/tutorial_2_unsupervised.ipynb>`_

3. Supervised Dimensional Reduction (PCA vs PLS)
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This tutorial shows how to decompose a matrix into the matrix product of factor matrices with label information.
`Google Colab <https://colab.research.google.com/github/chiba-ai-med/PyTorchDecomp/blob/main/docs/notebooks/tutorial_3_supervised.ipynb>`_