Fancyssc / Spiking-Transformers
Reproducing Spiking Transformers using Briancog
☆11Updated 2 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for Spiking-Transformers
- ☆42Updated 5 years ago
- ☆15Updated last year
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆15Updated 4 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆76Updated last year
- ☆13Updated 4 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆34Updated 2 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆78Updated last year
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆68Updated 6 months ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆97Updated 3 years ago
- ☆43Updated 2 years ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆61Updated 5 months ago
- ☆47Updated last year
- ☆18Updated 2 years ago
- ☆28Updated last year
- Deep Residual Learning in Spiking Neural Networks☆147Updated 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 …☆26Updated 2 years ago
- ☆36Updated 2 years ago
- ☆36Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆53Updated 11 months ago
- construct a spiking neural network☆23Updated 6 years ago
- This repository contains code from our paper "Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Sp…☆32Updated 2 years ago
- This repository contains code from our paper Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes, published in …☆19Updated 2 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆46Updated 2 years ago
- ☆36Updated 11 months ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆42Updated 8 months ago
- BNTT - Frontiers in Neuroscience (2021)☆46Updated 3 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆82Updated 6 months ago
- A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromo…☆80Updated this week
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆18Updated 3 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆29Updated 6 months ago