zju-bmi-lab / SPAIC
Spike-based artificial intelligence computing platform
☆93Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for SPAIC
- Spatio-temporal BP for SNNs☆210Updated 2 years ago
- Offical implementation of "Adaptive Smoothing Gradient Learning for Spiking Neural Networks", ICML 2023☆18Updated last year
- Collect important papers about snn☆30Updated 3 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆78Updated last year
- ☆249Updated 3 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆76Updated last year
- 🔥 This repo collects top international conference papers, codes about Spiking Neural Networks. 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码，正在持续更新中。☆254Updated last week
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆94Updated 2 years ago
- Paper list for SNN based computer vision tasks.☆117Updated 2 months ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆50Updated 3 years ago
- Update arXiv papers about Spiking Neural Networks daily.☆288Updated this week
- ☆48Updated last year
- this repository cord my subscriptions in arxiv with spiking neural network, and [this](https://github.com/shenhaibo123/SNN_summaries) is …☆13Updated last year
- 🔥🔥🔥A collection of some awesome public SNN(Spiking Neural Network) projects.☆141Updated last month
- Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"☆129Updated 3 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆96Updated 3 years ago
- Code for temporal efficient training☆54Updated 2 months ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆53Updated 11 months ago
- SyOPs counter for spiking neural networks☆49Updated last year
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆49Updated 2 years ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆60Updated 5 months ago
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆24Updated last year
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆46Updated 2 years ago
- This repository contains code from our paper "Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Sp…☆32Updated 2 years ago
- Deep Residual Learning in Spiking Neural Networks☆147Updated 2 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆32Updated 3 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆68Updated 6 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 …☆26Updated 2 years ago
- ☆28Updated last year
- This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.☆25Updated 5 years ago