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Code for Paper "Activity Pruning for Efficient Spiking Neural Networks"

To run

First setup data-path, hyper-parameters in '.yaml' file. For example, eta: parameter for threshold regularization eta2: parameter for activity regularization test-only: whether to train or test

Train CIFAR-10 Models

python main.py --config=cifar10.yaml

Train ImageNet-100 Models

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Code for paper "Activity Pruning for Efficient Spiking Neural Networks", NeurIPS 2025

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