ksouvik52 / hiresnn2021
☆12Updated 2 years ago
Alternatives and similar repositories for hiresnn2021:
Users that are interested in hiresnn2021 are comparing it to the libraries listed below
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆18Updated 3 years ago
- codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)☆15Updated 7 months ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆14Updated 2 months 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 …☆28Updated 3 years ago
- ☆16Updated 2 years ago
- Code for temporal efficient training☆59Updated 7 months ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆100Updated 3 years ago
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆27Updated last year
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆51Updated 2 years ago
- ☆38Updated 3 years ago
- ☆51Updated last year
- ☆18Updated 3 years ago
- ☆25Updated 2 years ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆22Updated 2 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆86Updated 10 months ago
- Meta-Dynamic Neurons improved Spatio-temporal Generalization of Spiking Neural Networks☆9Updated 4 years ago
- Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks☆19Updated last year
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆34Updated 3 years ago
- ☆51Updated 2 years ago
- BNTT - Frontiers in Neuroscience (2021)☆47Updated 3 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆37Updated 2 years ago
- ☆13Updated 4 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆85Updated last year
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆26Updated 6 months ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆58Updated last year
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆38Updated last year
- Codes of the paper: Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework (ICLR2024)☆10Updated last year
- ☆31Updated last year
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆66Updated 2 years ago
- [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS☆19Updated last year