putshua / ANN_SNN_QCFSLinks
Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"
☆34Updated 2 years ago
Alternatives and similar repositories for ANN_SNN_QCFS
Users that are interested in ANN_SNN_QCFS are comparing it to the libraries listed below
Sorting:
- ☆58Updated 2 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
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆53Updated 3 years ago
- Code for temporal efficient training☆69Updated 5 months ago
- SyOPs counter for spiking neural networks☆69Updated 2 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆19Updated 11 months ago
- ☆31Updated 2 years ago
- ☆25Updated 3 years ago
- Collect important papers about snn☆32Updated 4 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆114Updated 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
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 4 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
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Updated 4 years ago
- Codes of the paper: Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework (ICLR2024)☆14Updated last month
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆87Updated last year
- ☆11Updated 11 months ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆44Updated 3 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Updated 2 years ago
- ☆20Updated 2 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆53Updated 4 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆60Updated 8 months ago
- Spatio-temporal BP for SNNs☆232Updated 3 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 3 years ago
- ☆16Updated 2 years ago
- Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks☆27Updated 2 years ago
- Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)☆88Updated 7 months ago
- ☆68Updated 2 years ago