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:
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆62Updated last year
- Membrane Potential Batch Normalization for Spiking Neural Networks☆20Updated 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.☆45Updated 3 years ago
- ☆20Updated 2 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆53Updated 2 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆60Updated 8 months ago
- [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS☆20Updated 2 years ago
- ☆55Updated last year
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆44Updated 2 years ago
- Deep Residual Learning in Spiking Neural Networks☆185Updated 3 years ago
- Codes of the paper: SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks (CVPR2024)☆70Updated last year
- ☆16Updated 2 years ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆87Updated last year
- ☆25Updated 3 years ago
- SyOPs counter for spiking neural networks☆70Updated 2 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆19Updated 11 months ago
- Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)☆88Updated 7 months ago
- Spikingformer: A Key Foundation Model for Spiking Neural Networks (AAAI 2026)☆118Updated last month
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆72Updated 3 years ago
- ☆58Updated 2 years ago
- [Neurips 2023] Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks☆17Updated 2 years ago
- Code for temporal efficient training☆69Updated 5 months ago
- Awesome Spiking Neural Networks☆141Updated 9 months ago
- Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation …☆208Updated last year
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆67Updated 2 years ago
- Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagatio…☆44Updated last year
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆53Updated 3 years ago
- Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks via Self-Distillation and Weight Factorization☆10Updated 2 years ago
- ☆68Updated 2 years ago