Arancia's repositories
ECG-Atrial-Fibrillation-Classification-Using-CNN
This is a CNN based model which aims to automatically classify the ECG signals of a normal patient vs. a patient with AF and has been trained to achieve up to 93.33% validation accuracy. The dataset details are given at the How to use section.
Language:Jupyter Notebook000
ECG-ML-DL-Algorithm-Matlab
Basic Algorithm For Beginners
Language:MATLABApache-2.0000
MVision
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
Language:C++000
pytorch-loss
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
Language:PythonMIT000