☆30Oct 20, 2023Updated 2 years ago
Alternatives and similar repositories for OptSNNConvertion-RNL-RIL
Users that are interested in OptSNNConvertion-RNL-RIL are comparing it to the libraries listed below
Sorting:
- ☆59Aug 31, 2023Updated 2 years ago
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆41Oct 2, 2023Updated 2 years ago
- ☆16Feb 10, 2023Updated 3 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆35Dec 3, 2021Updated 4 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆92May 9, 2024Updated last year
- Here is the official code for ICASSP 2024 "Optimal ANN-SNN Conversion with Group Neurons".☆14Mar 1, 2024Updated last year
- ☆24Nov 28, 2022Updated 3 years ago
- ☆11Oct 4, 2022Updated 3 years ago
- An event-driven learning algorithm for spiking neural networks☆29May 15, 2024Updated last year
- Deep Residual Learning in Spiking Neural Networks☆190Aug 9, 2022Updated 3 years ago
- Pytorch implementation of ANN-SNN representation similarity analysis (TMLR 2023)☆13Apr 25, 2023Updated 2 years ago
- ☆70Aug 17, 2023Updated 2 years ago
- 该仓库主要收录了顶会中SNN领域的一些论文，论文内容与代理梯度和ANN-SNN转换相关。☆18Jun 16, 2022Updated 3 years ago
- Code for DCT_SNN, an input encoding scheme for SNNs using DCT☆20Sep 30, 2021Updated 4 years ago
- ☆18Mar 13, 2023Updated 2 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆53Nov 8, 2022Updated 3 years ago
- ☆19Mar 10, 2022Updated 3 years ago
- ☆17Feb 18, 2022Updated 4 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆117Aug 9, 2022Updated 3 years ago
- SyOPs counter for spiking neural networks☆72May 6, 2023Updated 2 years ago
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆73Jul 19, 2022Updated 3 years ago
- ☆55Dec 8, 2022Updated 3 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆54Feb 18, 2023Updated 3 years ago
- This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it…☆32Aug 5, 2020Updated 5 years ago
- ☆19Feb 18, 2025Updated last year
- Spiking Recognition (SpiReco)☆13Apr 3, 2024Updated last year
- Collection of Spiking Neural Network applications for SNN Toolbox.☆34Apr 7, 2020Updated 5 years ago
- ☆20Nov 26, 2022Updated 3 years ago
- ☆14Dec 2, 2021Updated 4 years ago
- Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagatio…☆46Jul 2, 2024Updated last year
- To appear in the 11th International Conference on Learning Representations (ICLR 2023).☆18Feb 24, 2023Updated 3 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Apr 4, 2021Updated 4 years ago
- ☆38Oct 27, 2021Updated 4 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆73Apr 16, 2024Updated last year
- Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse☆18Oct 20, 2024Updated last year
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆325May 30, 2025Updated 8 months ago
- A supervised learning algorithm of SNN is proposed by using spike sequences with complex spatio-temporal information. We explore an error…☆23Jan 15, 2022Updated 4 years ago
- [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS☆20Sep 26, 2023Updated 2 years ago
- ☆56Jan 21, 2024Updated 2 years ago