This is an implementation of Variational Quantum One-Class Classifier (VQOCC) in our preprint https://arxiv.org/abs/2210.02674
It uses open-source quantum circuit simulator, Qibo https://qibo.readthedocs.io/
It represents the variational quantum algorithm for one-class classification problems using Quantum Autoencoder structure.
The code implementation includes the applications to a Handwritten digit dataset with scikit-learn and Fashion-MNIST dataset.
You have two options for data encoding scheme, one is amplitude encoding and the other is Flexible Representation of Quantum Images (FRQI) encoding.