Pinned Repositories
aiLearnNotes
Artificial Intelligence Learning Notes.
DamiennnWang
Config files for my GitHub profile.
multilabel-classification-using-sklearn
multilabel classification is a classification problem in which one sample can have more than one labels.
NSGA-II
This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGA II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori.
ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Word-Macro
一个可以实现仿真手写的Word宏，支持随机修改字号，行间距，字体，字间距
DamiennnWang's Repositories
DamiennnWang/aiLearnNotes
Artificial Intelligence Learning Notes.
DamiennnWang/DamiennnWang
Config files for my GitHub profile.
DamiennnWang/multilabel-classification-using-sklearn
multilabel classification is a classification problem in which one sample can have more than one labels.
DamiennnWang/NSGA-II
This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGA II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori.
DamiennnWang/ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite