Windere/ASGL-SNN
Offical implementation of "Adaptive Smoothing Gradient Learning for Spiking Neural Networks", ICML 2023
This project offers a new way to train Spiking Neural Networks (SNNs) for tasks like image recognition, using a method called Adaptive Smoothing Gradient Learning (ASGL). It takes raw image datasets (like CIFAR-10, CIFAR-100, DVS-CIFAR10) and processes them to produce more accurate and robust SNN models. This is useful for AI researchers and engineers who develop energy-efficient neural networks for various applications.
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Use this if you are a researcher or engineer working with Spiking Neural Networks and want to improve their training accuracy, especially when dealing with noisy or complex data.
Not ideal if you are looking for a general-purpose deep learning library or if your primary interest is in traditional Artificial Neural Networks rather than SNNs.
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Python
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Last pushed
Aug 30, 2023
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