This repository contains code from our paper Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes, published in IJCAI, 2022.
☆19Apr 29, 2022Updated 3 years ago
Alternatives and similar repositories for Conversion_Burst
Users that are interested in Conversion_Burst are comparing it to the libraries listed below
Sorting:
- This repository contains code from our paper "Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Sp…☆32Jun 11, 2022Updated 3 years ago
- ☆31Oct 20, 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
- An event based dataset loader under one common python API.☆10Mar 22, 2022Updated 4 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆53Feb 18, 2023Updated 3 years ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆24Dec 24, 2022Updated 3 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆35Dec 3, 2021Updated 4 years ago
- official pytorch implements for the experiments of paper "Rethinking Pretraining as a Bridge from ANNs to SNNs"☆11Jun 4, 2024Updated last year
- Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022☆25Dec 14, 2022Updated 3 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆87Apr 15, 2023Updated 2 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆92May 9, 2024Updated last year
- ☆59Aug 31, 2023Updated 2 years ago
- ☆12Mar 24, 2021Updated 4 years ago
- The 1st Spiking Transformer Benchmark (NeurIPS 2025)☆19Dec 29, 2025Updated 2 months 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
- ☆16Feb 10, 2023Updated 3 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆119Aug 9, 2022Updated 3 years ago
- YoloV6 for a bare Raspberry Pi using ncnn.☆11Jun 12, 2024Updated last year
- ☆14Dec 2, 2021Updated 4 years ago
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆62Apr 16, 2024Updated last year
- ☆13Oct 1, 2020Updated 5 years ago
- ☆20Dec 14, 2023Updated 2 years ago
- Deep Residual Learning in Spiking Neural Networks☆188Aug 9, 2022Updated 3 years ago
- Repository for the master thesis titled "Local Unsupervised Learning of Multimodal Event-Based Data with Spiking Neural Networks", by Jul…☆28Jun 10, 2025Updated 9 months ago
- Code for "End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks", ECCV 2024☆36Oct 25, 2024Updated last year
- Pytorch project accompanying the paper "Comparing Deep Models and Evaluation Strategies for Multi-Pitch Estimation in Music Recordings", …☆13Aug 26, 2022Updated 3 years ago
- Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation (AAAI 2022)☆36Oct 18, 2022Updated 3 years ago
- Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Arti…☆607Nov 6, 2025Updated 4 months ago
- [ICCV-23] Masked Spiking Transformer☆32Mar 1, 2025Updated last year
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆65Dec 29, 2020Updated 5 years ago
- code for generating data set ES-ImageNet with corresponding training code☆31Jun 4, 2024Updated last year
- ☆23Nov 28, 2022Updated 3 years ago
- Coming soon☆24Oct 15, 2024Updated last year
- ☆17Feb 18, 2022Updated 4 years ago
- Large language models to diffusion finetuning code☆25Jun 2, 2025Updated 9 months ago
- Implementation of "Visual number sense in untrained deep neural networks" (Kim et al., Science Advances, 2021)☆10Oct 22, 2020Updated 5 years ago
- ☆144May 12, 2021Updated 4 years ago
- ☆10Nov 27, 2023Updated 2 years ago