thiswinex / STBP-simpleLinks
A simple direct training implement for SNNs using Spatio-Temporal Backpropagation
☆85Updated 2 years ago
Alternatives and similar repositories for STBP-simple
Users that are interested in STBP-simple are comparing it to the libraries listed below
Sorting:
- 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
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆100Updated 4 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 3 years ago
- ☆52Updated last year
- Spatio-temporal BP for SNNs☆228Updated 3 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆107Updated 2 years ago
- Collect important papers about snn☆31Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆61Updated last year
- Code for temporal efficient training☆62Updated 9 months ago
- Deep Residual Learning in Spiking Neural Networks☆167Updated 2 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆70Updated last year
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆51Updated 2 years ago
- SyOPs counter for spiking neural networks☆62Updated 2 years ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆80Updated last year
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆42Updated last year
- ☆29Updated last year
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆81Updated 2 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆40Updated 2 years ago
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆29Updated last year
- ☆28Updated 4 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆51Updated 2 months ago
- Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022☆23Updated 2 years ago
- This repository contains code from our paper "Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Sp…☆32Updated 2 years ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆131Updated 4 years ago
- 该仓库主要收录了顶会中SNN领域的一些论文，论文内容与代理梯度和ANN-SNN转换相关。☆18Updated 2 years ago
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆19Updated 3 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆87Updated last year
- ☆38Updated 3 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆16Updated 4 months ago