fabsig / GPBoostLinks
Combining tree-boosting with Gaussian process and mixed effects models
☆655Updated this week
Alternatives and similar repositories for GPBoost
Users that are interested in GPBoost are comparing it to the libraries listed below
Sorting:
- An extension of XGBoost to probabilistic modelling☆686Updated last month
- An extension of LightGBM to probabilistic modelling☆358Updated last month
- Multiple Imputation with LightGBM in Python☆402Updated 3 months ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆643Updated last year
- Time should be taken seer-iously☆319Updated 2 years ago
- Quantile Regression Forests compatible with scikit-learn.☆253Updated 2 weeks ago
- Fast SHAP value computation for interpreting tree-based models☆553Updated 2 years ago
- A python library to build Model Trees with Linear Models at the leaves.☆387Updated last year
- High performance Python GLMs with all the features!☆366Updated this week
- A Python package for causal inference in quasi-experimental settings