jhwjhw0123/GMM-Generated-data-imbalance-classification jhwjhw0123/GMM-Generated-data-imbalance-classification

  • Stars
    star
    1
  • Language
  • Created over 5 years ago
  • Updated about 5 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
jhwjhw0123/GMM-Generated-data-imbalance-classification
github

jhwjhw0123

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

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

More Repositories

1

Imbalance-XGBoost

XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
Python
295
star
2

HSIC_Lasso_with_optimization

MATLAB
3
star
3

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
Jupyter Notebook
2
star
4

Embedded_Deep_Learning

C++
1
star
5

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
Jupyter Notebook
1
star