christophstoeckl / FS-neuronsLinks
☆55Updated 2 years ago
Alternatives and similar repositories for FS-neurons
Users that are interested in FS-neurons are comparing it to the libraries listed below
Sorting:
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆64Updated last year
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆91Updated last year
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆71Updated last year
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆69Updated 3 years ago
- ☆46Updated 3 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆43Updated 2 years ago
- ☆56Updated 2 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆102Updated 4 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆52Updated 2 years ago
- BNTT - Frontiers in Neuroscience (2021)☆48Updated 3 years ago
- ☆18Updated 2 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆51Updated 2 years ago
- ☆30Updated 2 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆90Updated 2 years ago
- Deep Residual Learning in Spiking Neural Networks☆182Updated 3 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Updated 2 years ago
- code for generating data set ES-ImageNet with corresponding training code☆32Updated last year
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆112Updated 3 years ago
- ☆38Updated 4 years ago
- STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize …☆30Updated 3 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆18Updated 9 months ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆58Updated 6 months ago
- ☆28Updated 4 years ago
- codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)☆17Updated last year
- ☆17Updated 3 years ago
- Code for DCT_SNN, an input encoding scheme for SNNs using DCT☆17Updated 4 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 4 years ago
- Code for temporal efficient training☆64Updated 3 months ago
- To appear in the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021).☆31Updated 4 years ago