jhwjhw0123/Embedded_Deep_Learning

Imbalance-XGBoost

XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions

HSIC_Lasso_with_optimization

Bi-DirectionRNN_Stock_Trend

A small project to use Bidirectional GRU to learn stock in/decrement prediction and 20-day trend simultaneously and output the prediction of the trend

Polynomial_and_Anova_feature_map

This is a small project using a iteration function calling method code the explicit feature map of polynomial and Anova kernel. Copyright: Chen Wang

GMM-Generated-data-imbalance-classification

A sample of Gaussian Mixture Model (GMM)-generated data to be used in label-imbalanced classification.