deepspike / tandem_learning
The source code for the paper entitled "A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks"
☆12Updated 3 years ago
Related projects: ⓘ
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆47Updated last year
- Code for DCT_SNN, an input encoding scheme for SNNs using DCT☆15Updated 2 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆33Updated last year
- This repository contains code from our paper Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes, published in …☆18Updated 2 years ago
- ☆13Updated last year
- Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)☆32Updated 2 years ago
- Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagatio…☆34Updated 2 months ago
- Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)☆11Updated 8 months ago
- An event-driven learning algorithm for spiking neural networks☆22Updated 4 months ago
- To appear in the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021).☆27Updated 3 years ago
- ☆46Updated last year
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆51Updated 9 months ago
- code for generating data set ES-ImageNet with corresponding training code☆29Updated 3 months ago
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆17Updated 2 years ago
- PyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)☆22Updated last year
- Advancing Spiking Neural Networks towards Deep Residual Learning☆37Updated 6 months ago
- Official repository of SpikeZIP-TF in ICML2024☆13Updated 3 months ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆34Updated 2 years ago
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆40Updated 5 months ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆27Updated 3 years ago
- codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)☆15Updated last month
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆32Updated last year
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆81Updated 4 months ago
- This project contains code for the paper titled "SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentia…☆10Updated 7 months ago
- developing tools for LIAF-SNNs and LIF-SNNs☆8Updated 2 years ago
- ☆10Updated 2 years ago
- Membrane Potential Batch Normalization for Spiking Neural Networks☆19Updated last year
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆45Updated last year
- ☆41Updated 8 months ago
- ☆26Updated 3 years ago