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:
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆92Updated last year
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆65Updated last year
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆53Updated 3 years ago
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆69Updated 3 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Updated 4 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆44Updated 2 years ago
- Deep Residual Learning in Spiking Neural Networks☆184Updated 3 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆53Updated 2 years ago
- ☆57Updated 2 years ago
- ☆46Updated 3 years ago
- ☆31Updated 2 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆90Updated 2 years ago
- code for generating data set ES-ImageNet with corresponding training code☆32Updated last year
- ☆38Updated 4 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆72Updated last year
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆112Updated 3 years ago
- ☆18Updated 2 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆59Updated 7 months ago
- BNTT - Frontiers in Neuroscience (2021)☆48Updated 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 …