ksouvik52 / hiresnn2021Links
☆12Updated 3 years ago
Alternatives and similar repositories for hiresnn2021
Users that are interested in hiresnn2021 are comparing it to the libraries listed below
Sorting:
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆102Updated 4 years ago
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆20Updated 4 years ago
- ☆18Updated 2 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆90Updated last year
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆31Updated last year
- STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize …☆30Updated 3 years ago
- codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)☆17Updated last year
- ☆55Updated 2 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆51Updated 2 years ago
- ☆38Updated last year
- Threshold annealing in binarized spiking neural networks☆16Updated 3 years ago
- ☆38Updated 3 years ago
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆43Updated 2 years ago
- Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks☆23Updated last year
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆69Updated 3 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆18Updated 8 months ago
- BNTT - Frontiers in Neuroscience (2021)☆48Updated 3 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆89Updated 2 years ago
- Code for temporal efficient training☆65Updated 2 months ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆71Updated last year
- Codes of the paper: Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework (ICLR2024)☆14Updated last year
- Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters☆12Updated 3 years ago
- ☆25Updated 2 years ago
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆28Updated last year
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆42Updated 2 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆47Updated last year
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆63Updated last year
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 4 years ago
- ☆17Updated 3 years ago