MPS for unsupervised Machine Learning

This repository contains two notebooks from the QUIKSTART X 2025 winterschool.

opt_einsum.ipynb demonstrates the usage of opt_einsum
MPS_MNIST_8x8_example.ipynb is an end-to-end example for an unsupervised learning task on a simple data set with an MPS

To install the required python packages, run:

pip install -r requirements.txt

A lot more details and explanations can be found in the notebooks.

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
img		img
tn_utils		tn_utils
MPS_MNIST_8x8_example.ipynb		MPS_MNIST_8x8_example.ipynb
README.md		README.md
opt_einsum.ipynb		opt_einsum.ipynb
requirements.txt		requirements.txt

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