Optimizing threshold and leak in LIF neurons with end-to-end backpropagation
☆20Sep 10, 2021Updated 4 years ago
Alternatives and similar repositories for DIET-SNN
Users that are interested in DIET-SNN are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of ANN-SNN representation similarity analysis (TMLR 2023)☆13Apr 25, 2023Updated 2 years ago
- ☆14May 13, 2022Updated 3 years ago
- code for generating data set ES-ImageNet with corresponding training code☆31Jun 4, 2024Updated last year
- ☆19Mar 13, 2023Updated 2 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Apr 4, 2021Updated 4 years ago
- Multidigraph learning (MDGL) for training recurrent spiking neural networks☆14Dec 18, 2021Updated 4 years ago
- ☆12Mar 8, 2023Updated 2 years ago
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆12Nov 20, 2020Updated 5 years ago
- Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022☆25Dec 14, 2022Updated 3 years ago
- Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters☆13Aug 15, 2022Updated 3 years ago
- Offical implementation of "Advancing Spiking Neural Networks towards Deep Residual Learning" (IEEE TNNLS 2024)☆14Aug 28, 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
- Codes of the paper: Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework (ICLR2024)☆13Oct 26, 2025Updated 4 months ago
- ☆59Aug 31, 2023Updated 2 years ago
- ☆43Jan 1, 2024Updated 2 years ago
- codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)☆16Aug 19, 2024Updated last year
- ☆17Feb 8, 2024Updated 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
- ☆14Dec 2, 2021Updated 4 years ago
- ☆17Mar 2, 2021Updated 5 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆117Aug 9, 2022Updated 3 years ago
- ☆16Aug 21, 2020Updated 5 years ago
- Framework for radix encoded SNN on FPGA☆18Dec 7, 2021Updated 4 years ago
- Spatio-temporal BP for SNNs☆239May 17, 2022Updated 3 years ago
- Offical implementation of "Temporal-wise Attention Spiking Neural Networks for Event Streams Classification" (ICCV2021)☆22Oct 16, 2023Updated 2 years ago
- Deep Residual Learning in Spiking Neural Networks☆188Aug 9, 2022Updated 3 years ago
- BNTT - Frontiers in Neuroscience (2021)☆49Nov 11, 2021Updated 4 years ago
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆19Sep 15, 2020Updated 5 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
- ☆26Nov 16, 2025Updated 3 months ago
- ☆22Mar 28, 2023Updated 2 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆58Jan 2, 2023Updated 3 years ago
- PyTorch based toolkit for developing spiking neural networks (SNNs) by training and testing them on speech command recognition tasks☆29May 3, 2024Updated last year
- DRL with population coded spiking neural network for optimal and energy-efficient continuous control.☆64Dec 15, 2021Updated 4 years ago
- ☆31Jan 9, 2025Updated last year
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆33Feb 6, 2023Updated 3 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆31Dec 17, 2020Updated 5 years ago
- ☆32Nov 30, 2024Updated last year
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆35Dec 3, 2021Updated 4 years ago