Pinned Repositories
3DDFA_V2
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
CVPR-2021-Papers
IoT23-network-traffic-anomalies-classification
AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset
Java
JavaProject
OASW-Concept-Drift-Detection-and-Adaptation
An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.
18600358443's Repositories
18600358443/3DDFA_V2
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
18600358443/CVPR-2021-Papers
18600358443/IoT23-network-traffic-anomalies-classification
AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset
18600358443/Java
18600358443/JavaProject
18600358443/OASW-Concept-Drift-Detection-and-Adaptation
An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.