Intelligent-Computing-Lab-Yale / SNNCKA
Pytorch implementation of ANN-SNN representation similarity analysis (TMLR 2023)
☆12Updated last year
Alternatives and similar repositories for SNNCKA:
Users that are interested in SNNCKA are comparing it to the libraries listed below
- ☆14Updated 2 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆36Updated 2 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆48Updated last year
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆50Updated 2 years ago
- ☆47Updated last year
- Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagatio…☆39Updated 8 months ago
- Offical implementation of "Inherent Redundancy in Spiking Neural Networks" (ICCV2023)☆27Updated last year
- Code for temporal efficient training☆58Updated 6 months ago
- Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)☆33Updated 2 years ago
- [ICCV-23] Masked Spiking Transformer☆30Updated this week
- code for generating data set ES-ImageNet with corresponding training code☆31Updated 9 months ago
- SyOPs counter for spiking neural networks☆56Updated last year
- ☆49Updated last year
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆37Updated last year
- ☆29Updated last year
- ☆16Updated 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
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆86Updated 9 months ago
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆66Updated 2 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆50Updated 2 years ago
- Spiking Global-Local Fusion Transformer☆17Updated 3 months ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆56Updated last year
- Create a new backward path for more accurate SNN gradients.☆15Updated 6 months ago
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆51Updated 10 months ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆34Updated 3 years ago
- Membrane Potential Batch Normalization for Spiking Neural Networks☆20Updated last year
- Deep Residual Learning in Spiking Neural Networks☆159Updated 2 years ago
- ☆58Updated last year
- Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)☆35Updated 2 weeks ago