StephenTaylor1998 / IMP-SNNLinks
☆11Updated 11 months ago
Alternatives and similar repositories for IMP-SNN
Users that are interested in IMP-SNN are comparing it to the libraries listed below
Sorting:
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆34Updated 2 years ago
- ☆58Updated 2 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆53Updated 3 years ago
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆44Updated 2 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆88Updated 2 years ago
- Code for temporal efficient training☆68Updated 5 months 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
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆19Updated 11 months ago
- ☆20Updated 2 years ago
- SyOPs counter for spiking neural networks☆69Updated 2 years ago
- ☆25Updated 3 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆114Updated 3 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 5 years ago
- ☆31Updated 2 years ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆23Updated 2 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Updated 2 years ago
- ☆18Updated 2 years ago
- This project used STBP-tdBN method to directly train Deep Spiking Neural Networks from scratch with PyTorch☆36Updated 2 years ago
- Collect important papers about snn☆32Updated 4 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Updated 4 years ago
- Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks☆27Updated 2 years ago
- Deep Residual Learning in Spiking Neural Networks☆186Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆66Updated 2 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆60Updated 8 months ago
- Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)☆88Updated 6 months ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 4 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 4 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆73Updated last year
- This repository contains code from our paper "Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Sp…☆32Updated 3 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆53Updated 2 years ago