brain-intelligence-lab / surrogate_module_learningLinks
Create a new backward path for more accurate SNN gradients.
☆16Updated last year
Alternatives and similar repositories for surrogate_module_learning
Users that are interested in surrogate_module_learning are comparing it to the libraries listed below
Sorting:
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆59Updated last year
- Membrane Potential Batch Normalization for Spiking Neural Networks☆19Updated 2 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆43Updated 2 years ago
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆43Updated 2 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆52Updated 2 years ago
- Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)☆83Updated 5 months ago
- Intelligent-Computing-Lab-Panda / Exploring-Temporal-Information-Dynamics-in-Spiking-Neural-NetworksPyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)☆30Updated 2 years ago
- ☆19Updated last year
- Advancing Spiking Neural Networks towards Deep Residual Learning☆58Updated 6 months ago
- Codes of the paper: SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks (CVPR2024)☆68Updated 10 months ago
- Deep Residual Learning in Spiking Neural Networks☆182Updated 3 years ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆84Updated last year
- ☆52Updated last year
- Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network☆109Updated 11 months ago
- [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS☆19Updated 2 years ago
- ☆16Updated 2 years ago
- SyOPs counter for spiking neural networks☆67Updated 2 years ago
- ☆25Updated 2 years ago
- [Neurips 2023] Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks☆17Updated last year
- Offical implementation of "Quantized Spike-driven Transformer" (ICLR2025)☆26Updated 6 months ago
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆69Updated 3 years ago
- Code for temporal efficient training☆64Updated 3 months ago
- ☆56Updated 2 years ago
- Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation …☆198Updated last year
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆18Updated 9 months ago
- Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagatio…☆44Updated 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
- Spiking Global-Local Fusion Transformer☆19Updated 6 months ago
- Codes of the paper: Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework (ICLR2024)☆14Updated last year
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆112Updated 3 years ago