thiswinex / STBP-simple
A simple direct training implement for SNNs using Spatio-Temporal Backpropagation
☆85Updated last year
Alternatives and similar repositories for STBP-simple:
Users that are interested in STBP-simple are comparing it to the libraries listed below
- 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
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆59Updated last year
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 3 years ago
- ☆51Updated last year
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆34Updated 3 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆101Updated 4 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆107Updated 2 years ago
- Spatio-temporal BP for SNNs☆223Updated 2 years ago
- Code for temporal efficient training☆60Updated 7 months ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆79Updated 2 years ago
- Collect important papers about snn☆31Updated 3 years ago
- SyOPs counter for spiking neural networks☆55Updated last year
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆51Updated 2 years ago
- Deep Residual Learning in Spiking Neural Networks☆162Updated 2 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆68Updated 11 months ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆49Updated this week
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆76Updated 10 months ago
- ☆30Updated last year
- This repository contains code from our paper "Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Sp…☆32Updated 2 years ago
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆27Updated last year
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆40Updated last year
- Paper list for SNN based computer vision tasks.☆124Updated 6 months ago
- This repository contains code from our paper Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes, published in …☆21Updated 2 years ago
- ☆27Updated 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
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆37Updated 2 years ago
- ☆25Updated 2 years ago
- Official implementation of paper "Razor SNN: Efficient Spiking Neural Network with Temporal Embeddings", ICANN 2023.☆58Updated 4 years ago
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆66Updated 2 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆37Updated 7 months ago