ppppps / ANN2SNNConversion_SNM_NeuronNormLinks
Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022
☆25Updated 3 years ago
Alternatives and similar repositories for ANN2SNNConversion_SNM_NeuronNorm
Users that are interested in ANN2SNNConversion_SNM_NeuronNorm are comparing it to the libraries listed below
Sorting:
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆53Updated 4 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆88Updated 2 years ago
- Deep Residual Learning in Spiking Neural Networks☆186Updated 3 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆73Updated last year
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 5 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Updated 2 years ago
- This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.☆28Updated 6 years ago
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆21Updated 4 years ago
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆19Updated 5 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆116Updated 3 years ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆136Updated 5 years ago
- This is the implementation of MLF & spiking DS-ResNet☆17Updated 2 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆44Updated 3 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Updated 4 years ago
- ☆58Updated 2 years ago
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆18Updated 3 years ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆87Updated last year
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆12Updated 5 years ago
- Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks☆33Updated 2 years ago
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆62Updated last year
- Spatio-temporal BP for SNNs☆233Updated 3 years ago
- Code for temporal efficient training☆69Updated 5 months ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆53Updated 3 years ago
- SyOPs counter for spiking neural networks☆70Updated 2 years 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 …☆29Updated 3 years ago
- ☆13Updated 5 years ago
- ☆50Updated 2 years ago
- Reimplementation of the paper "STDP-based spiking deep convolutional neural networks for object recognition"☆17Updated 2 years ago
- ☆25Updated 3 years ago
- ☆29Updated 5 years ago