Lyu6PosHao / ANN2SNN_GN
Here is the official code for ICASSP 2024 "Optimal ANN-SNN Conversion with Group Neurons".
☆11Updated last year
Alternatives and similar repositories for ANN2SNN_GN:
Users that are interested in ANN2SNN_GN are comparing it to the libraries listed below
- ☆15Updated 2 years ago
- ☆51Updated last year
- ☆29Updated last year
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆38Updated last year
- Advancing Spiking Neural Networks towards Deep Residual Learning☆48Updated last year
- ☆48Updated last year
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆14Updated 2 months ago
- Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks☆19Updated last year
- Codes of the paper: Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework (ICLR2024)☆10Updated last year
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆59Updated last year
- ☆60Updated last year
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆51Updated 2 years ago
- ☆16Updated last year
- Pytorch implementation of ANN-SNN representation similarity analysis (TMLR 2023)☆13Updated last year
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆37Updated 2 years ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆75Updated 10 months ago
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆66Updated 2 years ago
- ☆25Updated 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
- PyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)☆28Updated 2 years ago
- ☆16Updated 2 years ago
- Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)☆51Updated this week
- Offical Implementation of "CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks" (ICML 2024 spotlight)☆17Updated last month
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆26Updated 6 months ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆22Updated 2 years ago
- code for generating data set ES-ImageNet with corresponding training code☆31Updated 9 months ago
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆18Updated 3 years ago
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆27Updated last year
- ☆37Updated last year
- SyOPs counter for spiking neural networks☆55Updated last year