Intelligent-Computing-Lab-Panda / SNNCKALinks
Pytorch implementation of ANN-SNN representation similarity analysis (TMLR 2023)
☆14Updated 2 years ago
Alternatives and similar repositories for SNNCKA
Users that are interested in SNNCKA are comparing it to the libraries listed below
Sorting:
- ☆16Updated 2 years ago
- ☆50Updated last year
- Advancing Spiking Neural Networks towards Deep Residual Learning☆54Updated 5 months ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆52Updated 2 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆42Updated 2 years ago
- Deep Residual Learning in Spiking Neural Networks☆176Updated 3 years ago
- This is the official code for our paper "Differentiable Hierarchical and Surrogate Gradient Search for Spiking Neural Networks, NeurIPS 2…☆14Updated last year
- Offical implementation of "Inherent Redundancy in Spiking Neural Networks" (ICCV2023)☆26Updated last year
- ☆55Updated 2 years ago
- SyOPs counter for spiking neural networks☆66Updated 2 years ago
- Membrane Potential Batch Normalization for Spiking Neural Networks☆19Updated 2 years ago
- Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation …☆194Updated last year
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆51Updated 2 years ago
- ☆62Updated 2 years ago
- [ICCV-23] Masked Spiking Transformer☆32Updated 6 months ago
- Create a new backward path for more accurate SNN gradients.☆16Updated last year
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆63Updated last year
- Code for temporal efficient training☆65Updated 2 months ago
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆43Updated 2 years ago
- Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagatio…☆43Updated last year
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆68Updated 3 years ago
- Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network☆108Updated 9 months ago
- Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)☆35Updated 3 years ago
- Offical code of "QKFormer: Hierarchical Spiking Transformer using Q-K Attention" (NeurIPS 2024,Spotlight 3%)☆126Updated 8 months ago
- Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)☆77Updated 3 months ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆89Updated last year
- ☆15Updated last year
- ☆30Updated last year
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆58Updated last year
- Intelligent-Computing-Lab-Panda / Exploring-Temporal-Information-Dynamics-in-Spiking-Neural-NetworksPyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)☆29Updated 2 years ago