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Shenzhen University
- Shenzhen, Guang Dong, China
- [email protected]
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KNU-BrainAI / STCNet
Forked from didwoah/STCNetSubject-Aware Contrastive Learning for Hand Gesture Recognition in Surface EMG
EQTransformer, a python package for earthquake signal detection and phase picking using AI.
一个deformable-detr的中文注释版本,供大家参考学习(A Chinese annotated version of deformable-detr)
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
Image augmentation for machine learning experiments.
Improved sEMG-based gesture recognition
A surface electromyographic (sEMG) touch typing dataset with baselines. https://arxiv.org/abs/2410.20081.
Materials to reproduce the results of our paper about 3D muscle modelling.
Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)
A powerful toolbox for the analysis of HD-EMG recordings
Decomposition of Neurophysiological Time Series Signals with a Particle Swarm Optimised Independence Estimator
End-to-End Object Detection with Transformers
detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
A list of public EMG datasets and their papers, with a focus on raw EMG signals.
App to decompose electromyographic signals and manually edit the motor unit pulse trains
Second-order information bottleneck for sEMG pattern recognition tasks
Implementation of Negro et.al 2016, Multichannel intramuscular EMG and HDsEMG decomposition algorithm
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
Software framework made to help the myocontrol community to develop and test new myocontrol algorithms.
PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardware
Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
Low-Power Image Classification on Neuromorphic Hardware
Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)
Deep and online learning with spiking neural networks in Python
Simulation of spiking neural networks (SNNs) using PyTorch.