Intelligent-Computing-Lab-Yale / Rate-vs-Direct
[ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS
☆19Updated last year
Alternatives and similar repositories for Rate-vs-Direct:
Users that are interested in Rate-vs-Direct are comparing it to the libraries listed below
- Create a new backward path for more accurate SNN gradients.☆16Updated 7 months ago
- PyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)☆28Updated 2 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆37Updated 2 years ago
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆66Updated 2 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆51Updated 2 years ago
- Membrane Potential Batch Normalization for Spiking Neural Networks☆20Updated last year
- BNTT - Frontiers in Neuroscience (2021)☆47Updated 3 years ago
- Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)☆33Updated 2 years ago
- codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)☆15Updated 7 months ago
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆17Updated 2 years ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆22Updated 2 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆14Updated 2 months ago
- Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)☆13Updated 4 months ago
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆38Updated last year
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 4 years ago
- Code for temporal efficient training☆59Updated 7 months ago
- ☆25Updated 2 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆34Updated 3 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆48Updated last year
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆52Updated 11 months ago
- ☆51Updated last year
- ☆29Updated last year
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆18Updated 3 years ago
- ☆51Updated 2 years ago
- ☆16Updated last year
- Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks☆19Updated last year
- SyOPs counter for spiking neural networks☆56Updated last year
- Offical Implementation of "CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks" (ICML 2024 spotlight)☆17Updated last month
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆86Updated 10 months ago
- ☆26Updated 4 years ago