Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022
☆25Dec 14, 2022Updated 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:
- 该仓库主要收录了顶会中SNN领域的一些论文，论文内容与代理梯度和ANN-SNN转换相关。☆18Jun 16, 2022Updated 3 years ago
- ☆17Feb 18, 2022Updated 4 years ago
- This repository contains code from our paper Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes, published in …☆19Apr 29, 2022Updated 3 years ago
- This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.☆28Aug 7, 2019Updated 6 years ago
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆20Sep 10, 2021Updated 4 years ago
- official pytorch implements for the experiments of paper "Rethinking Pretraining as a Bridge from ANNs to SNNs"☆11Jun 4, 2024Updated last year
- ☆16Aug 21, 2020Updated 5 years ago
- ☆59Aug 31, 2023Updated 2 years ago
- The biologically plausible self backpropagation on SNNs and ANNs☆13Aug 27, 2021Updated 4 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆44Dec 12, 2022Updated 3 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆92May 9, 2024Updated last year
- ☆31Oct 20, 2023Updated 2 years ago
- A supervised learning algorithm of SNN is proposed by using spike sequences with complex spatio-temporal information. We explore an error…☆23Jan 15, 2022Updated 4 years ago
- This repository contains code from our paper "Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Sp…☆32Jun 11, 2022Updated 3 years ago
- Repository code for the IJCNN 2021 paper "Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks"☆22Aug 12, 2022Updated 3 years ago
- Code for temporal efficient training☆72Jul 16, 2025Updated 8 months ago
- ☆23Nov 28, 2022Updated 3 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆53Nov 8, 2022Updated 3 years ago
- Pytorch project accompanying the paper "Comparing Deep Models and Evaluation Strategies for Multi-Pitch Estimation in Music Recordings", …☆13Aug 26, 2022Updated 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 …☆29Feb 3, 2022Updated 4 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆53Aug 20, 2021Updated 4 years ago
- Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters☆13Aug 15, 2022Updated 3 years ago
- Spatio-temporal BP for SNNs☆239May 17, 2022Updated 3 years ago
- ☆29Dec 8, 2020Updated 5 years ago
- An event-driven learning algorithm for spiking neural networks☆29May 15, 2024Updated last year
- PyTorch based toolkit for developing spiking neural networks (SNNs) by training and testing them on speech command recognition tasks☆30May 3, 2024Updated last year
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆35Dec 3, 2021Updated 4 years ago
- A nest brain simulator based on FPGA(LIF NEURON)☆15Dec 14, 2021Updated 4 years ago
- Repository code for the IJCNN 2022 paper "Object Detection with Spiking Neural Networks on Automotive Event Data"☆80Mar 16, 2023Updated 3 years ago
- PatchBackdoor is a code base associated with paper PatchBackdoor.☆12Aug 27, 2024Updated last year
- Spiking neural networks (SNNs) for speech classification☆12Mar 14, 2022Updated 4 years ago
- A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/y…☆223Mar 23, 2021Updated 4 years ago
- A fault injection framework for spiking neural networks☆11Updated this week
- The source code for the paper entitled "A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks…☆14Jul 4, 2021Updated 4 years ago
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆12Nov 20, 2020Updated 5 years ago
- MAPS ( MIDI Aligned Piano Sounds ) dataset python api for machine learning☆11Jun 26, 2018Updated 7 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆37Nov 8, 2021Updated 4 years ago
- ☆15Sep 17, 2024Updated last year
- The code to simulate spiking neural networks as used in the paper "Spiking Time-Dependent Plasticity Leads to Efficient Coding of Predict…☆10Nov 24, 2019Updated 6 years ago