NeuroCompLab-psu / SNN-Conversion
☆38Updated 3 years ago
Alternatives and similar repositories for SNN-Conversion:
Users that are interested in SNN-Conversion are comparing it to the libraries listed below
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆99Updated 3 years ago
- ☆51Updated 2 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆34Updated 3 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 …☆28Updated 3 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆85Updated 9 months ago
- ☆45Updated 2 years ago
- ☆42Updated 5 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆56Updated last year
- ☆18Updated 3 years ago
- BNTT - Frontiers in Neuroscience (2021)☆47Updated 3 years ago
- ☆49Updated last year
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆66Updated 2 years ago
- ☆32Updated last year
- ☆15Updated last year
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆78Updated 2 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆85Updated last year
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆60Updated 4 years ago
- ☆28Updated last year
- Code for temporal efficient training☆57Updated 6 months ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆36Updated 2 years ago
- Spiking Convolutional Neural Networks☆66Updated 6 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆103Updated 2 years ago
- ☆26Updated 4 years ago
- codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)☆14Updated 6 months ago
- Collection of Spiking Neural Network applications for SNN Toolbox.☆31Updated 4 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆50Updated 2 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆68Updated 10 months ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆31Updated 5 months ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆49Updated 2 years ago
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆17Updated 2 years ago