putshua / SNN_conversion_QCFS
☆49Updated last year
Alternatives and similar repositories for SNN_conversion_QCFS:
Users that are interested in SNN_conversion_QCFS are comparing it to the libraries listed below
- ☆29Updated last year
- Advancing Spiking Neural Networks towards Deep Residual Learning☆48Updated last year
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆25Updated last year
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆85Updated last year
- Code for temporal efficient training☆58Updated 6 months ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆34Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆56Updated last year
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆50Updated 2 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆50Updated 2 years ago
- Deep Residual Learning in Spiking Neural Networks☆159Updated 2 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
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆73Updated 9 months ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆104Updated 2 years ago
- ☆24Updated 2 years ago
- ☆47Updated last year
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆36Updated 2 years ago
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆37Updated last year
- SyOPs counter for spiking neural networks☆56Updated last year
- Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)☆35Updated 2 weeks ago
- ☆14Updated 2 years ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆22Updated 2 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆86Updated 9 months ago
- This repository contains code from our paper "Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Sp…☆32Updated 2 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆99Updated 3 years ago
- Offical implementation of "Temporal-wise Attention Spiking Neural Networks for Event Streams Classification" (ICCV2021)☆18Updated last year
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆17Updated 2 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 …☆28Updated 3 years ago
- Offical implementation of "Adaptive Smoothing Gradient Learning for Spiking Neural Networks", ICML 2023☆21Updated last year
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆51Updated 10 months ago
- ☆16Updated last year