udemirezen / awesome-deep-snn

A curated list of awesome deep spiking neural networks projects

Awesome-Deep-SNN

Deep Spiking Neural Networks (SNNs) combine the power of deep learning with Spiking Neural Networks. This repository showcases incredible public projects centered on the Deep SNN series.

• Spiking CNN

  • tavanaei/Spiking-CNN : Spiking Convolutional Neural Networks

  • dinies/SpikingCNN : Build a spiking convolutional neural network in tensorflow for image recognitioon tasks

  • aa-samad/conv_snn : Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper

  • HBPNeurorobotics/snn_object_recognition : Spiking CNN for object recognition

  • crsumiran/CNN2SNN : Will be putting my experiments on converting CNNs to Spiking Neural networks or SNNs

  • RohitMahankali/CNN-SNN-Clothing-Classification : A Clothing Image Classifier using Convolutional and Spiking Neural Networks

  • zhanganguo/Evol-SNN : Evolutionary and Adaptive Evolutionary spiking neuron models for spiking CNN and FNN.

  • shriya999/F-SpikingCNN : Code for "Implementing a foveal-pit inspired filter in a Spiking Convolutional Neural Network"

  • KevinZ0217/Spiking-CNN :

  • rajborra/spiking_cnn_project : BME 503 Final Project

  • Zack-zuo/Event-Driven-sCNN : A event-driven spiking CNN accelerated by FPGA

  • Dengyu-Wu/spkeras : Conversion from CNNs to SNNs using Tensorflow-Keras

  • Hybrid-SNN-CNN-Prey-Tracking : This directory contains the code for hybrid SNN+CNN prey tracking algorithm. This is built using PEDRA drone simulator: https://github.com/aqeelanwar/PEDRA and V2E: frame to event converter: https://github.com/SensorsINI/v2e.

  • SonpKing/CNN2SNN : This project aims to convert Artificial Neuron Network to Spiking Neuron Network

  • MLIUKF/CNN2SNN : Spike Trains Encoding and Threshold Rescaling Method for Deep Spiking Neural Networks

  • nguhcv/cnn_snn_conversion : Effective Conversion of a Convolution Neural Network into a Spiking Neural Network for Image Recognition Tasks

• Spiking GAN

  • manuelmolano/Spike-GAN : Tensorflow implementation of Spike-GAN, which allows generating realistic patterns of neural activity whose statistics approximate a given training dataset.

  • alperyeg/spiking_GANs : GANs producing spiketrains