SayeedChowdhury / dct-snnLinks
Code for DCT_SNN, an input encoding scheme for SNNs using DCT
☆17Updated 4 years ago
Alternatives and similar repositories for dct-snn
Users that are interested in dct-snn are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆71Updated last year
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆102Updated 4 years ago
- ☆55Updated 2 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆90Updated 2 years ago
- ☆46Updated 3 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆43Updated 2 years ago
- ☆18Updated 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 …☆30Updated 3 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago
- ☆13Updated 5 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆64Updated last year
- BNTT - Frontiers in Neuroscience (2021)☆48Updated 3 years ago
- ☆14Updated 3 years ago
- ☆38Updated 4 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 4 years ago
- ☆42Updated 6 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 4 years ago
- ☆14Updated 5 years ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆134Updated 5 years ago
- The source code for the paper entitled "A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks…☆14Updated 4 years ago
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆12Updated 4 years ago
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆20Updated 4 years ago
- codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)☆17Updated last year
- ☆17Updated 3 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
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆69Updated 3 years ago
- ☆56Updated 2 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆91Updated last year
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆51Updated 2 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆112Updated 3 years ago