coderonion / awesome-snn
🔥🔥🔥A collection of some awesome public SNN(Spiking Neural Network) projects.
☆179Updated 6 months ago
Alternatives and similar repositories for awesome-snn:
Users that are interested in awesome-snn are comparing it to the libraries listed below
- Awesome Spiking Neural Networks☆123Updated last week
- 🔥 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。☆313Updated last week
- Update arXiv papers about Spiking Neural Networks daily.☆349Updated this week
- Paper list for SNN based computer vision tasks.☆124Updated 6 months ago
- Deep Residual Learning in Spiking Neural Networks☆161Updated 2 years ago
- A paper list of spiking neural networks, including papers, codes, and related websites. 本仓库收集脉冲神经网络相关的顶会顶刊论文和代码，正在持续更新中。☆388Updated 2 weeks ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆76Updated 10 months ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆107Updated 2 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆85Updated last year
- Spatio-temporal BP for SNNs☆223Updated 2 years ago
- SyOPs counter for spiking neural networks☆55Updated last year
- Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation …☆170Updated 10 months ago
- ☆253Updated 3 years ago
- ICLR 2023, Spikformer: When Spiking Neural Network Meets Transformer☆316Updated last year
- Collect important papers about snn☆31Updated 3 years ago
- Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network☆95Updated 4 months ago
- A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromo…☆88Updated 2 weeks ago
- ☆51Updated last year
- Offical implementation of "Spike-driven Transformer" (NeurIPS2023)☆243Updated last year
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆100Updated 3 years ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆125Updated 4 years ago
- ☆30Updated last year
- Code for "End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks", ECCV 2024☆24Updated 5 months ago
- Official implementation of paper "Razor SNN: Efficient Spiking Neural Network with Temporal Embeddings", ICANN 2023.☆58Updated 4 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆49Updated last year
- Offical implementation of "Deep Directly-Trained Spiking Neural Networks for Object Detection" (ICCV2023)☆170Updated last year
- Repository code for the IJCNN 2022 paper "Object Detection with Spiking Neural Networks on Automotive Event Data"☆74Updated 2 years ago
- Code for temporal efficient training☆60Updated 7 months ago
- Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)☆54Updated last week
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆51Updated 2 years ago