loiccordone / sparse-spiking-neural-networksLinks
Repository code for the IJCNN 2021 paper "Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks"
☆17Updated 2 years ago
Alternatives and similar repositories for sparse-spiking-neural-networks
Users that are interested in sparse-spiking-neural-networks are comparing it to the libraries listed below
Sorting:
- ☆24Updated 2 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆61Updated last year
- ☆52Updated last year
- Offical implementation of "Temporal-wise Attention Spiking Neural Networks for Event Streams Classification" (ICCV2021)☆18Updated last year
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 3 years ago
- This is the implementation of MLF & spiking DS-ResNet☆14Updated last year
- ☆17Updated 2 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆40Updated 2 years ago
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆18Updated 3 years ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆24Updated 2 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆51Updated 2 months ago
- ☆29Updated last year
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆80Updated last year
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆19Updated 3 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆81Updated 2 years ago
- Paper list for SNN based computer vision tasks.☆125Updated 8 months ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago
- ☆37Updated last year
- ☆12Updated 4 years ago
- Optical Flow estimation from Event cameras and Spiking Neural Networks☆29Updated last year
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆85Updated 2 years ago
- ☆28Updated 4 years ago
- code for generating data set ES-ImageNet with corresponding training code☆31Updated last year
- STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize …☆28Updated 3 years ago
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆42Updated last year
- This repository contains code from our paper "Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Sp…☆32Updated 2 years ago
- Official implementation of paper "Razor SNN: Efficient Spiking Neural Network with Temporal Embeddings", ICANN 2023.☆60Updated 4 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆107Updated 2 years ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆131Updated 4 years ago
- This repo is the implementation of the spatio-temporal credit assignment (STCA) algorithm for training deep spiking neural networks.☆26Updated 5 years ago