A simple direct training implement for SNNs using Spatio-Temporal Backpropagation
☆87Apr 15, 2023Updated 2 years ago
Alternatives and similar repositories for STBP-simple
Users that are interested in STBP-simple are comparing it to the libraries listed below
Sorting:
- 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
- Spatio-temporal BP for SNNs☆239May 17, 2022Updated 3 years ago
- This project used STBP-tdBN method to directly train Deep Spiking Neural Networks from scratch with PyTorch☆36Feb 2, 2023Updated 3 years ago
- ☆17Dec 18, 2020Updated 5 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆92May 9, 2024Updated last year
- ☆13Oct 1, 2020Updated 5 years ago
- Deep Residual Learning in Spiking Neural Networks☆188Aug 9, 2022Updated 3 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆72Apr 16, 2024Updated last year
- code for generating data set ES-ImageNet with corresponding training code☆31Jun 4, 2024Updated last year
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆53Feb 18, 2023Updated 3 years ago
- ☆256May 8, 2021Updated 4 years ago
- An efficient spiking variational autoencoder☆13Nov 13, 2023Updated 2 years ago
- ☆29Dec 8, 2020Updated 5 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
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Apr 4, 2021Updated 4 years ago
- Codes of the paper of "Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines"☆12Feb 15, 2023Updated 3 years ago
- ☆47Jul 2, 2022Updated 3 years ago
- ☆55Dec 8, 2022Updated 3 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆65Dec 29, 2020Updated 5 years ago
- Official implementation of paper "Razor SNN: Efficient Spiking Neural Network with Temporal Embeddings", ICANN 2023.☆62Jan 4, 2021Updated 5 years ago
- Code for temporal efficient training☆72Jul 16, 2025Updated 8 months ago
- ☆19Mar 13, 2023Updated 3 years ago
- This is the implementation of MLF & spiking DS-ResNet☆16Dec 20, 2023Updated 2 years ago
- This repository contains the models and training scripts used in the papers: "Quantizing Spiking Neural Networks with Integers" (ICONS 20…☆13Oct 20, 2020Updated 5 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
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆324May 30, 2025Updated 9 months ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆53Nov 8, 2022Updated 3 years ago
- Official implementation of Fully Spiking Variational Autoencoder [AAAI2022]☆73May 3, 2023Updated 2 years ago
- SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.☆1,934Mar 12, 2026Updated last week
- ☆20Dec 14, 2023Updated 2 years ago
- ☆14Dec 2, 2021Updated 4 years ago
- BNTT - Frontiers in Neuroscience (2021)☆49Nov 11, 2021Updated 4 years ago
- ☆42Sep 4, 2019Updated 6 years ago
- Pytorch implementation of ANN-SNN representation similarity analysis (TMLR 2023)☆13Apr 25, 2023Updated 2 years ago
- [NeurIPS 2021] Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State☆29Oct 24, 2021Updated 4 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆118Aug 9, 2022Updated 3 years ago
- Feedforward spiking neural network has been trained with SpikeProp algorithm☆22Feb 6, 2018Updated 8 years ago
- developing tools for LIAF-SNNs and LIF-SNNs☆10Sep 14, 2022Updated 3 years ago