yhhhli / SNN_Calibration
Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021
☆85Updated 8 months ago
Alternatives and similar repositories for SNN_Calibration:
Users that are interested in SNN_Calibration are comparing it to the libraries listed below
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆34Updated 3 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆48Updated 2 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆50Updated last year
- Code for temporal efficient training☆57Updated 5 months ago
- ☆49Updated last year
- ☆28Updated last year
- ☆37Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆55Updated last year
- ☆50Updated 2 years ago
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆66Updated 2 years ago
- Deep Residual Learning in Spiking Neural Networks☆157Updated 2 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆36Updated 2 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆46Updated 10 months ago
- Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)☆32Updated 2 years ago
- SyOPs counter for spiking neural networks☆56Updated last year
- ☆47Updated 11 months ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆84Updated last year
- ☆26Updated 4 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆99Updated 3 years ago
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆17Updated 2 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆101Updated 2 years ago
- BNTT - Frontiers in Neuroscience (2021)☆47Updated 3 years ago
- Pytorch implementation of ANN-SNN representation similarity analysis (TMLR 2023)☆12Updated last year
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆37Updated last year
- [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS☆19Updated last year
- code for generating data set ES-ImageNet with corresponding training code☆29Updated 7 months ago
- Collect important papers about snn☆30Updated 3 years ago
- ☆13Updated last year
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆24Updated last year
- STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize …☆27Updated 2 years ago