zhuyaoyu / SNN-temporal-training-losses
[Neurips 2023] Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks
☆14Updated last year
Alternatives and similar repositories for SNN-temporal-training-losses:
Users that are interested in SNN-temporal-training-losses are comparing it to the libraries listed below
- ☆16Updated last year
- Create a new backward path for more accurate SNN gradients.☆16Updated 7 months ago
- Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks via Self-Distillation and Weight Factorization☆10Updated last year
- Offical implementation of "Inherent Redundancy in Spiking Neural Networks" (ICCV2023)☆27Updated last year
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆52Updated 11 months ago
- Spiking Global-Local Fusion Transformer☆16Updated 4 months ago
- Offical implementation of "Temporal-wise Attention Spiking Neural Networks for Event Streams Classification" (ICCV2021)☆18Updated last year
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆51Updated 2 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆48Updated last year
- Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagatio…☆39Updated 8 months ago
- ☆60Updated last year
- Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks☆19Updated last year
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆37Updated 2 years ago
- SyOPs counter for spiking neural networks☆55Updated last year
- This is the official code for our paper "Differentiable Hierarchical and Surrogate Gradient Search for Spiking Neural Networks, NeurIPS 2…☆14Updated last year
- ☆48Updated last year
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆22Updated 2 years ago
- Membrane Potential Batch Normalization for Spiking Neural Networks☆20Updated last year
- Codes of the paper: SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks (CVPR2024)☆53Updated 3 months ago
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆38Updated last year
- Codes of the paper: Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework (ICLR2024)☆10Updated last year
- ☆15Updated 2 years ago
- Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)☆51Updated this week
- Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network☆95Updated 4 months ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆75Updated 10 months ago
- Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation …☆167Updated 10 months ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆51Updated 2 years ago
- Code for temporal efficient training☆60Updated 7 months ago
- ☆25Updated 2 years ago
- Code for "End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks", ECCV 2024☆24Updated 5 months ago