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
Sorting:
- PyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)☆28Updated 2 years ago
- Create a new backward path for more accurate SNN gradients.☆16Updated 8 months ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆38Updated 2 years ago
- BNTT - Frontiers in Neuroscience (2021)☆47Updated 3 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆16Updated 3 months ago
- Membrane Potential Batch Normalization for Spiking Neural Networks☆19Updated last year
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆23Updated 2 years ago
- Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)☆15Updated 5 months ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆67Updated 2 years ago
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆42Updated last year
- codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)☆17Updated 8 months ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆51Updated 2 years ago
- ☆24Updated 2 years ago
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆19Updated 3 years ago
- ☆52Updated last year
- ☆29Updated last year
- Code for temporal efficient training☆61Updated 8 months ago
- Threshold annealing in binarized spiking neural networks☆16Updated 2 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆60Updated last year
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆18Updated 2 years ago
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆29Updated last year
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆100Updated 4 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 4 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆51Updated last month
- Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)☆34Updated 2 years ago
- ☆16Updated 4 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆87Updated last year
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆55Updated last year
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆51Updated 2 years ago