pkuxmq / OTTT-SNN
[NeurIPS 2022] Online Training Through Time for Spiking Neural Networks
☆53Updated 11 months ago
Related projects ⓘ
Alternatives and complementary repositories for OTTT-SNN
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆36Updated last year
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆35Updated last year
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆49Updated last year
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆46Updated 2 years ago
- ☆48Updated last year
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆95Updated 2 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆81Updated last year
- Advancing Spiking Neural Networks towards Deep Residual Learning☆44Updated 8 months ago
- Code for temporal efficient training☆56Updated 3 months ago
- ☆45Updated 10 months ago
- code for generating data set ES-ImageNet with corresponding training code☆29Updated 5 months ago
- ☆28Updated last year
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆66Updated 2 years ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆62Updated 6 months ago
- Deep Residual Learning in Spiking Neural Networks☆149Updated 2 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆34Updated 2 years ago
- SyOPs counter for spiking neural networks☆49Updated last year
- ☆15Updated last year
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆76Updated last year
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆97Updated 3 years ago
- PyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)☆22Updated last year
- BNTT - Frontiers in Neuroscience (2021)☆47Updated 3 years ago
- ☆27Updated 3 years ago
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆24Updated last year
- This repository contains code from our paper Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes, published in …☆19Updated 2 years ago
- ☆47Updated last year
- Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks☆16Updated 11 months ago
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆17Updated 2 years ago
- ☆54Updated last year
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆51Updated 3 years ago