nitin-rathi / DIET-SNNLinks
Optimizing threshold and leak in LIF neurons with end-to-end backpropagation
☆21Updated 4 years ago
Alternatives and similar repositories for DIET-SNN
Users that are interested in DIET-SNN are comparing it to the libraries listed below
Sorting:
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Updated 4 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 5 years ago
- ☆59Updated 2 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆44Updated 3 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 4 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆88Updated 2 years ago
- ☆13Updated 5 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆116Updated 3 years ago
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆45Updated 2 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Updated 2 years ago
- Code for temporal efficient training☆70Updated 6 months ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆53Updated 3 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆19Updated 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
- ☆25Updated 3 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆73Updated last year
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆67Updated 2 years ago
- Threshold annealing in binarized spiking neural networks☆16Updated 3 years ago
- ☆12Updated 3 years ago
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆38Updated 2 years ago
- This project used STBP-tdBN method to directly train Deep Spiking Neural Networks from scratch with PyTorch☆36Updated 2 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 4 years ago
- This repository contains code from our paper "Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Sp…☆32Updated 3 years ago
- ☆29Updated 5 years ago
- BNTT - Frontiers in Neuroscience (2021)☆48Updated 4 years ago
- Spatio-temporal BP for SNNs☆235Updated 3 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
- This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.☆28Updated 6 years ago
- Deep Residual Learning in Spiking Neural Networks☆187Updated 3 years ago
- ☆13Updated 4 years ago