putshua / ANN_SNN_QCFS
Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"
☆25Updated last year
Alternatives and similar repositories for ANN_SNN_QCFS:
Users that are interested in ANN_SNN_QCFS are comparing it to the libraries listed below
- ☆50Updated last year
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆38Updated last year
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆50Updated 2 years ago
- ☆25Updated 2 years ago
- ☆29Updated last year
- Code for temporal efficient training☆59Updated 6 months ago
- SyOPs counter for spiking neural networks☆54Updated last year
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆34Updated 3 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆85Updated last year
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆57Updated last year
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆74Updated 9 months ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆22Updated 2 years ago
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆18Updated 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 2 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆48Updated last year
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆104Updated 2 years ago
- ☆16Updated last year
- Collect important papers about snn☆31Updated 3 years ago
- Offical implementation of "Temporal-wise Attention Spiking Neural Networks for Event Streams Classification" (ICCV2021)☆18Updated last year
- Codes of the paper: Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework (ICLR2024)☆10Updated last year
- Offical implementation of "Adaptive Smoothing Gradient Learning for Spiking Neural Networks", ICML 2023☆21Updated last year
- Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)☆41Updated this week
- ☆14Updated 2 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆51Updated 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
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆36Updated 2 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 3 years ago
- ☆59Updated last year
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆99Updated 3 years ago
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆51Updated 10 months ago