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Starting kit for the NeurIPS 2023 unlearning challenge

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# Starting kit for the NeurIPS 2023 Machine Unlearning Challenge

This repository contains the starting kit for the NeurIPS 2023 Machine Unlearning Challenge. The starting kit currently contains the following examples:

### Unlearning on CIFAR10

![sample images from the CIFAR10 dataset](https://github.com/unlearning-challenge/starting-kit/assets/277639/acee217a-9ecd-484b-be81-8dcf5992eece)

The notebook [`unlearning-CIFAR10.ipynb`](https://nbviewer.org/github/unlearning-challenge/starting-kit/tree/main/unlearning-CIFAR10.ipynb) provides a foundation for participants to build their unlearning models on the CIFAR-10 dataset. This jupyter notebook can be run locally, [on Colab](https://colab.research.google.com/github/unlearning-challenge/starting-kit/blob/main/unlearning-CIFAR10.ipynb), or [on Kaggle](https://kaggle.com/kernels/welcome?src=https://raw.githubusercontent.com/unlearning-challenge/starting-kit/main/unlearning-CIFAR10.ipynb)

## Community-contributed examples

* [Translation of the CIFAR-10 notebook to Keras](https://www.kaggle.com/code/ipythonx/keras-core-machine-unlearning-challenge) by [Mohammed Innat](https://github.com/innat)

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