brain-intelligence-lab / temporal_efficient_trainingLinks
Code for temporal efficient training
☆67Updated 4 months ago
Alternatives and similar repositories for temporal_efficient_training
Users that are interested in temporal_efficient_training are comparing it to the libraries listed below
Sorting:
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆53Updated 3 years ago
- SyOPs counter for spiking neural networks☆68Updated 2 years ago
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆43Updated 2 years ago
- ☆57Updated 2 years ago
- Deep Residual Learning in Spiking Neural Networks☆184Updated 3 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆59Updated 7 months ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆90Updated 2 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆112Updated 3 years ago
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆32Updated 2 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆65Updated last year
- ☆25Updated 2 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆44Updated 2 years ago
- ☆65Updated 2 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆92Updated last year
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆60Updated last year
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago
- 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。☆18Updated 3 years ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆87Updated last year
- ☆31Updated 2 years ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆23Updated 2 years ago
- Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network☆113Updated 11 months ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆19Updated 10 months ago
- Codes of the paper: Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework (ICLR2024)☆14Updated 3 weeks ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆53Updated 2 years ago
- ☆53Updated last year
- ☆20Updated last year
- Spatio-temporal BP for SNNs☆232Updated 3 years ago
- Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)☆84Updated 5 months ago
- This project used STBP-tdBN method to directly train Deep Spiking Neural Networks from scratch with PyTorch☆36Updated 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