nitin-rathi / DIET-SNN
Optimizing threshold and leak in LIF neurons with end-to-end backpropagation
☆18Updated 3 years ago
Alternatives and similar repositories for DIET-SNN:
Users that are interested in DIET-SNN 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
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆37Updated last year
- ☆12Updated 2 years ago
- ☆49Updated last year
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆24Updated last year
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆36Updated 2 years ago
- ☆22Updated 2 years ago
- Code for temporal efficient training☆57Updated 5 months ago
- BNTT - Frontiers in Neuroscience (2021)☆47Updated 3 years ago
- ☆15Updated last year
- ☆13Updated 4 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆99Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆55Updated last year
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆11Updated 4 years ago
- 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
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆28Updated 4 years ago
- This repository contains code from our paper "Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Sp…☆32Updated 2 years ago
- ☆26Updated 4 years ago
- Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022☆22Updated 2 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆46Updated 10 months ago
- Codes of the paper: Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework (ICLR2024)☆10Updated 10 months ago
- Code for DCT_SNN, an input encoding scheme for SNNs using DCT☆16Updated 3 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆51Updated 3 years ago
- [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS☆19Updated last year
- codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)☆14Updated 4 months ago
- ☆28Updated last year
- 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。☆18Updated 2 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆101Updated 2 years ago
- This repository contains code from our paper Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes, published in …☆19Updated 2 years ago