BICLab / Spike-Driven-Transformer-V3
Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)
☆25Updated last week
Alternatives and similar repositories for Spike-Driven-Transformer-V3:
Users that are interested in Spike-Driven-Transformer-V3 are comparing it to the libraries listed below
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆50Updated last year
- Advancing Spiking Neural Networks towards Deep Residual Learning☆46Updated 10 months ago
- ☆47Updated 11 months ago
- Offical implementation of "Temporal-wise Attention Spiking Neural Networks for Event Streams Classification" (ICCV2021)☆18Updated last year
- ☆49Updated last year
- SyOPs counter for spiking neural networks☆56Updated last year
- ☆16Updated last year
- ☆58Updated last year
- Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagatio…☆38Updated 6 months ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆73Updated 7 months ago
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆24Updated last year
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆37Updated last year
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆22Updated 2 years ago
- Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)☆12Updated 2 months ago
- Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks☆18Updated last year
- ☆22Updated 2 years ago
- This is the official implementation of the 'SFOD: Spiking Fusion Object Detection'.☆27Updated 10 months ago
- Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks via Self-Distillation and Weight Factorization☆10Updated last year
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆36Updated 2 years ago
- Offical implementation of "Inherent Redundancy in Spiking Neural Networks" (ICCV2023)☆27Updated last year
- Offical implementation of "Advancing Spiking Neural Networks towards Deep Residual Learning" (IEEE TNNLS 2024)☆12Updated last year
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆50Updated 9 months ago
- Offical implementation of High-Performance Temporal Reversible Spiking Neural Networks with $O(L)$ Training Memory and $O(1)$ Inference C…☆16Updated 3 months ago
- Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network☆87Updated last month
- Codes of the paper: Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework (ICLR2024)☆10Updated 10 months ago
- Code for temporal efficient training☆57Updated 5 months ago
- Offical code of "QKFormer: Hierarchical Spiking Transformer using Q-K Attention" (NeurIPS 2024,Spotlight 3%)☆90Updated 2 weeks ago
- Spiking Global-Local Fusion Transformer☆17Updated last month
- Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation …☆156Updated 8 months ago
- ☆28Updated last year