Metrics for spiking neural networks based on torchmetrics
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Updated
Mar 27, 2023 - Python
Metrics for spiking neural networks based on torchmetrics
Python functions to convert ecephys recordings and associated behavioural data to Neurodata Without Borders (NWB) file format
Scripts to model functional experimental or other phenomena, such as neuronal/device spiking, or tip-sample interactions.
contains solution scripts for "try hack me" buffer overflow prep room for oscp
Advanced Machine Learning Fall 2020 Project Repository
Quantization-aware training with spiking neural networks
This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it has original content in terms of code.
This repo explains in details about buffer overflow exploit development for windows executable.
Deep and online learning with spiking neural networks in Python
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