brain-intelligence-lab / surrogate_module_learningLinks
Create a new backward path for more accurate SNN gradients.
☆17Updated 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:
- Membrane Potential Batch Normalization for Spiking Neural Networks☆20Updated 2 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆53Updated 2 years ago
- Intelligent-Computing-Lab-Panda / Exploring-Temporal-Information-Dynamics-in-Spiking-Neural-NetworksPyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)☆31Updated 3 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆44Updated 2 years ago
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆60Updated last year
- [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS☆19Updated 2 years ago
- ☆20Updated last year
- Advancing Spiking Neural Networks towards Deep Residual Learning☆60Updated 8 months ago
- ☆55Updated last year
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆44Updated 2 years ago
- Codes of the paper: SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks (CVPR2024)☆69Updated 11 months ago
- Deep Residual Learning in Spiking Neural Networks☆185Updated 3 years ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆87Updated last year
- [Neurips 2023] Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks☆17Updated 2 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆19Updated 10 months ago
- Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)☆86Updated 6 months ago
- ☆16Updated 2 years ago
- ☆25Updated 3 years ago
- ☆57Updated 2 years ago
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆72Updated 3 years ago
- Awesome Spiking Neural Networks☆141Updated 8 months ago
- This is the official code for our paper "Differentiable Hierarchical and Surrogate Gradient Search for Spiking Neural Networks, NeurIPS 2…☆15Updated 2 years ago
- SyOPs counter for spiking neural networks☆68Updated 2 years ago
- Spikingformer: A Key Foundation Model for Spiking Neural Networks (AAAI 2026)☆114Updated 2 weeks ago
- ☆68Updated 2 years ago
- Offical code of "QKFormer: Hierarchical Spiking Transformer using Q-K Attention" (NeurIPS 2024)☆132Updated 11 months ago
- Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks via Self-Distillation and Weight Factorization☆10Updated 2 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆65Updated 2 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆53Updated 3 years ago
- Pytorch implementation of ANN-SNN representation similarity analysis (TMLR 2023)☆14Updated 2 years ago