ZLkanyo009 / STBP-train-and-compressionLinks
STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize SNNS with QAT to deploy to neuromorphological chips like Loihi and Tianjic.
☆30Updated 3 years ago
Alternatives and similar repositories for STBP-train-and-compression
Users that are interested in STBP-train-and-compression are comparing it to the libraries listed below
Sorting:
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆90Updated 2 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 4 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆102Updated 4 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆71Updated last year
- ☆56Updated 2 years ago
- This repository contains code from our paper "Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Sp…☆32Updated 3 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Updated 2 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆18Updated 9 months ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 4 years ago
- Spatio-temporal BP for SNNs☆232Updated 3 years ago
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆31Updated 2 years ago
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆20Updated 4 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆51Updated 2 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆112Updated 3 years ago
- Collect important papers about snn☆32Updated 4 years ago
- ☆55Updated 2 years ago
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆43Updated 2 years ago
- Code for temporal efficient training☆64Updated 3 months ago
- Threshold annealing in binarized spiking neural networks☆16Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆64Updated last year
- ☆18Updated 2 years ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆24Updated 2 years ago
- SyOPs counter for spiking neural networks☆67Updated 2 years ago
- ☆30Updated 2 years ago
- ☆38Updated 4 years ago
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆18Updated 5 years ago
- ☆255Updated 4 years ago
- This is the official project repository for BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blu…☆31Updated 11 months ago
- ☆25Updated 2 years ago