yfguo91 / Joint-A-SNN
Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks via Self-Distillation and Weight Factorization
☆10Updated last year
Alternatives and similar repositories for Joint-A-SNN:
Users that are interested in Joint-A-SNN are comparing it to the libraries listed below
- ☆16Updated last year
- Advancing Spiking Neural Networks towards Deep Residual Learning☆46Updated 10 months ago
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆50Updated 9 months ago
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆37Updated last year
- ☆58Updated last year
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆73Updated 7 months ago
- Offical implementation of "Temporal-wise Attention Spiking Neural Networks for Event Streams Classification" (ICCV2021)☆18Updated last year
- SyOPs counter for spiking neural networks☆56Updated last year
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆50Updated last year
- Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagatio…☆38Updated 6 months ago
- Deep Residual Learning in Spiking Neural Networks☆157Updated 2 years ago
- Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks☆18Updated last year
- Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network☆87Updated last month
- ☆47Updated 11 months ago
- ☆49Updated last year
- Create a new backward path for more accurate SNN gradients.☆15Updated 5 months ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆36Updated 2 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆101Updated 2 years ago
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆24Updated last year
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆48Updated 2 years ago
- Membrane Potential Batch Normalization for Spiking Neural Networks☆20Updated last year
- Code for temporal efficient training☆57Updated 5 months ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆22Updated 2 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆55Updated last year
- Code for "End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks", ECCV 2024☆18Updated 2 months ago
- [Neurips 2023] Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks☆14Updated last year
- Awesome Spiking Neural Networks☆111Updated 7 months ago
- Codes of the paper: Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework (ICLR2024)☆10Updated 10 months ago
- Spiking Global-Local Fusion Transformer☆17Updated last month
- Optical Flow estimation from Event cameras and Spiking Neural Networks☆28Updated 8 months ago