GitHub - Benkol003/Third-Year-Project: UoM third year project: Researching synaptic pruning with DeepR in Spiking Neural Networks, for use with Dynamic Vision Sensor (DVS) datasets

Please install snnTorch from source! there are useful performance fixes that have not made it to the current pip release.

deepr.py implements the Deepr algorithm from the paper https://arxiv.org/abs/1711.05136.

experiments are done in jupyter notebooks; they are mnemomically named with the type of model, dataset and if using Deep R.

Name		Name	Last commit message	Last commit date
Latest commit History 27 Commits
papers		papers
report		report
.gitignore		.gitignore
ANN_CIFAR10_VGG.ipynb		ANN_CIFAR10_VGG.ipynb
ANN_MNIST_deepr.ipynb		ANN_MNIST_deepr.ipynb
LICENSE		LICENSE
README.md		README.md
SNN_CIFAR10_VGG.ipynb		SNN_CIFAR10_VGG.ipynb
SNN_DVS2_deepr.ipynb		SNN_DVS2_deepr.ipynb
SNN_DVS_BNTT.ipynb		SNN_DVS_BNTT.ipynb
SNN_DVS_original.ipynb		SNN_DVS_original.ipynb
SNN_DVS_original_BNTT.ipynb		SNN_DVS_original_BNTT.ipynb
SNN_MNIST_CNN_deepr.ipynb		SNN_MNIST_CNN_deepr.ipynb
SNN_MNIST_deepr.ipynb		SNN_MNIST_deepr.ipynb
SNN_MNIST_latency_deepr.ipynb		SNN_MNIST_latency_deepr.ipynb
SNN_NMNIST_CNN_deepr.ipynb		SNN_NMNIST_CNN_deepr.ipynb
deepr.py		deepr.py
old.SNN_DVS_truenorth.ipynb		old.SNN_DVS_truenorth.ipynb
requirements.txt		requirements.txt
trainer.py		trainer.py

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