Fancyssc / STEPLinks
Reproduce Spiking Transformer via Braincog
☆14Updated 4 months ago
Alternatives and similar repositories for STEP
Users that are interested in STEP are comparing it to the libraries listed below
Sorting:
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago
 - ☆55Updated 2 years ago
 - ☆18Updated 2 years ago
 - Advancing Spiking Neural Networks towards Deep Residual Learning☆59Updated 7 months ago
 - [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆64Updated last year
 - Official repository of SpikeZIP-TF in ICML2024☆43Updated 10 months ago
 - [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆52Updated 2 years ago
 - An event-driven learning algorithm for spiking neural networks☆29Updated last year
 - ☆29Updated 4 years ago
 - [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆18Updated 9 months ago
 - A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆90Updated 2 years ago
 - GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆52Updated 2 years ago
 - Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆43Updated 2 years ago
 - Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆102Updated 4 years ago
 - Code for DCT_SNN, an input encoding scheme for SNNs using DCT☆17Updated 4 years ago
 - ☆57Updated 2 years ago
 - ☆30Updated 2 years ago
 - Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆92Updated last year
 - 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
 - Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆111Updated 3 years ago
 - Neural Architecture Search for Spiking Neural Networks, ECCV2022☆69Updated 3 years ago
 - This repository contains code from our paper "Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Sp…☆32Updated 3 years ago
 - ☆38Updated 4 years ago
 - codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)☆17Updated last year
 - Deep Residual Learning in Spiking Neural Networks☆182Updated 3 years ago
 - Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆71Updated last year
 - Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)☆85Updated 5 months ago
 - ☆13Updated 5 years ago
 - A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆44Updated last year
 - SyOPs counter for spiking neural networks☆67Updated 2 years ago