Tab-ct / STSC-SNNLinks
STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks
☆24Updated 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☆52Updated 2 months ago
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆56Updated last year
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆51Updated 2 years ago
- ☆17Updated last year
- Offical implementation of "Temporal-wise Attention Spiking Neural Networks for Event Streams Classification" (ICCV2021)☆18Updated last year
- ☆53Updated last year
- Code for temporal efficient training☆62Updated 10 months ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆40Updated 2 years ago
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆42Updated last year
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆80Updated last year
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆62Updated last year
- SyOPs counter for spiking neural networks☆63Updated 2 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆51Updated 2 years ago
- Offical Implementation of "CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks" (ICML 2024 spotlight)☆21Updated last month
- Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagatio…☆39Updated 11 months ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆16Updated 5 months ago
- Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks☆21Updated last year
- This is the implementation of MLF & spiking DS-ResNet☆14Updated last year
- ☆29Updated last year
- ☆24Updated 2 years ago
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆29Updated last year
- Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)☆70Updated last month
- This repository contains code from our paper "Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Sp…☆32Updated 3 years ago
- This repository contains code from our paper Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes, published in …☆20Updated 3 years ago
- STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize …☆29Updated 3 years ago
- ☆17Updated 2 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago
- Deep Residual Learning in Spiking Neural Networks☆168Updated 2 years ago
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆18Updated 3 years ago
- Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network☆103Updated 6 months ago