zeyuliu1037 / LMUFormerLinks
ICLR 2024 LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units
☆14Updated last year
Alternatives and similar repositories for LMUFormer
Users that are interested in LMUFormer are comparing it to the libraries listed below
Sorting:
- [ICCV-23] Masked Spiking Transformer☆32Updated 7 months ago
- ☆18Updated 2 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆63Updated last year
- ☆51Updated last year
- Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network☆109Updated 10 months ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆84Updated last year
- Advancing Spiking Neural Networks towards Deep Residual Learning☆57Updated 6 months ago
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆59Updated last year
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆52Updated 2 years ago
- Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation …☆196Updated last year
- [ICLR 2024] Code implementation for "EventRPG: Event Data Augmentation with Relevance Propagation Guidance"☆12Updated 9 months ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆43Updated 2 years ago
- Awesome Spiking Neural Networks☆137Updated 6 months ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Updated 2 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆51Updated 2 years ago
- Deep Residual Learning in Spiking Neural Networks☆179Updated 3 years ago
- Implementation of the dataset defined in Spiking Neural Networks for event-based action recognition: A new task to understand their adva…☆15Updated 2 years ago
- Offical implementation of "Spike-driven Transformer" (NeurIPS2023)☆280Updated last year
- Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)☆81Updated 4 months ago
- Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)☆35Updated 3 years ago
- Implementation of "A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception". CVPRW 2024☆23Updated last year
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆69Updated 3 years ago
- Official implementation of "Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings" [ICLR2024]☆63Updated last year
- Intelligent-Computing-Lab-Panda / Exploring-Temporal-Information-Dynamics-in-Spiking-Neural-NetworksPyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)☆30Updated 2 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆18Updated 8 months ago
- This repository contains code from our paper Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes, published in …☆20Updated 3 years ago
- Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagatio…☆43Updated last year
- ☆30Updated last year
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆43Updated 2 years ago
- Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)☆15Updated 10 months ago