Tab-ct / STSC-SNNLinks
STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks
☆23Updated 2 years ago
Alternatives and similar repositories for STSC-SNN
Users that are interested in STSC-SNN are comparing it to the libraries listed below
Sorting:
- Advancing Spiking Neural Networks towards Deep Residual Learning☆54Updated 5 months ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆81Updated last year
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆58Updated last year
- Deep Residual Learning in Spiking Neural Networks☆177Updated 3 years ago
- ☆55Updated 2 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆52Updated 2 years ago
- Code for temporal efficient training☆65Updated 2 months ago
- SyOPs counter for spiking neural networks☆66Updated 2 years ago
- Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagatio…☆43Updated last year
- Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network☆108Updated 9 months ago
- ☆18Updated last year
- Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)☆77Updated 3 months ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆51Updated 2 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆18Updated 8 months ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆42Updated 2 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆88Updated 2 years ago
- Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks☆23Updated last year
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆43Updated 2 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆110Updated 3 years ago
- ☆25Updated 2 years ago
- Offical implementation of "Temporal-wise Attention Spiking Neural Networks for Event Streams Classification" (ICCV2021)☆20Updated last year
- Offical Implementation of "CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks" (ICML 2024 spotlight)☆25Updated 3 months ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆63Updated last year
- ☆18Updated 2 years ago
- Spiking Global-Local Fusion Transformer☆19Updated 4 months ago
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆30Updated 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 …☆30Updated 3 years ago
- This repository contains code from our paper "Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Sp…☆32Updated 3 years ago
- Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation …☆194Updated last year
- ☆62Updated 2 years ago