zeyuliu1037 / LMUFormer
ICLR 2024 LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units
☆13Updated 7 months ago
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 2 months ago
- PyTorch based toolkit for developing spiking neural networks (SNNs) by training and testing them on speech command recognition tasks☆25Updated last year
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆51Updated 2 years 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…☆39Updated 10 months ago
- This project contains code for the paper titled "SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentia…☆20Updated last year
- ☆51Updated last year
- ☆17Updated 2 years ago
- Offical implementation of "Inherent Redundancy in Spiking Neural Networks" (ICCV2023)☆28Updated last year
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆55Updated last year
- [ICLR 2024] Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks☆36Updated last year
- Official implementation of "Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings" [ICLR2024]☆59Updated last year
- Implementation of "A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception". CVPRW 2024☆21Updated last year
- ☆52Updated last year
- [WACV 2024] Spiking Denoising Diffusion Probabilistic Models☆47Updated last month
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆18Updated 2 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆38Updated 2 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆60Updated last year
- ☆29Updated last year
- Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network☆98Updated 5 months ago
- Offical implementation of "Quantized Spike-driven Transformer" (ICLR2025)☆21Updated last month
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 4 years ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆79Updated 11 months ago
- Membrane Potential Batch Normalization for Spiking Neural Networks☆19Updated last year
- Official Implementation of Paper "SpikeBERT: A Language Spikformer Learned from BERT with Knowledge Distillation".☆21Updated last month
- Codes of the paper: Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework (ICLR2024)☆11Updated last year
- ☆54Updated 2 years ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆23Updated 2 years ago
- Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)☆15Updated 6 months ago
- BNTT - Frontiers in Neuroscience (2021)☆47Updated 3 years ago