Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022
☆23Dec 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
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。☆19Jun 16, 2022Updated 3 years ago
- ☆18Feb 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 …☆20Apr 29, 2022Updated 4 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
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆16Aug 21, 2020Updated 5 years ago
- ☆60Aug 31, 2023Updated 2 years ago
- official pytorch implements for the experiments of paper "Rethinking Pretraining as a Bridge from ANNs to SNNs"☆11Jun 4, 2024Updated 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 2 years ago
- This is the implementation of MLF & spiking DS-ResNet☆16Dec 20, 2023Updated 2 years ago
- ☆31Oct 20, 2023Updated 2 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
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code for temporal efficient training☆74Jul 16, 2025Updated 10 months ago
- ☆23Nov 28, 2022Updated 3 years ago
- The fun programming language☆17Oct 30, 2024Updated last year
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆52Nov 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
- TVM learning and research☆13Jan 8, 2021Updated 5 years ago
- Lightweight face detectors with landmarks. Training code using pytorch and inference using pytorch/ncnn/tensorflow/tflite.☆10Jul 1, 2020Updated 5 years ago
- Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters☆13Aug 15, 2022Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Spatio-temporal BP for SNNs☆241May 17, 2022Updated 4 years ago
- ☆30Dec 8, 2020Updated 5 years ago
- An event-driven learning algorithm for spiking neural networks☆28May 15, 2024Updated 2 years ago
- Weighted-Boxes-Fusion method implementation with YOLOv4 and YOLOv5☆11Jul 14, 2022Updated 3 years ago
- PyTorch based toolkit for developing spiking neural networks (SNNs) by training and testing them on speech command recognition tasks☆31May 3, 2024Updated 2 years ago
- A nest brain simulator based on FPGA(LIF NEURON)☆16Dec 14, 2021Updated 4 years ago
- Repository code for the IJCNN 2022 paper "Object Detection with Spiking Neural Networks on Automotive Event Data"☆82Mar 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
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/y…☆224Mar 23, 2021Updated 5 years ago
- 2D Object Tracking for automated driving using WAYMO data.☆15Jun 17, 2020Updated 5 years ago
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆13Nov 20, 2020Updated 5 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆38Nov 8, 2021Updated 4 years ago
- ☆16Sep 17, 2024Updated last year
- Analytical methods for efficient inference of integrate-and-fire circuit models from single-trial spike trains☆11Oct 30, 2019Updated 6 years ago
- 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