fabsig / GPBoostLinks
Combining tree-boosting with Gaussian process and mixed effects models
☆628Updated last 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☆640Updated 3 weeks ago
- Multiple Imputation with LightGBM in Python☆387Updated last year
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆628Updated last year
- An extension of LightGBM to probabilistic modelling☆328Updated 3 weeks ago
- Time should be taken seer-iously☆317Updated 2 years ago
- A python library to build Model Trees with Linear Models at the leaves.☆381Updated last year
- A Python package for causal inference in quasi-experimental settings☆1,030Updated this week
- High performance Python GLMs with all the features!☆356Updated 3 weeks ago
- [CONTRIBUTORS WELCOME] Generalized Additive Models in Python☆913Updated 2 weeks ago
- Fast SHAP value computation for interpreting tree-based models☆541Updated 2 years ago
- Quantile Regression Forests compatible with scikit-learn.☆238Updated last week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,449Updated this week
- Python package for Imputation Methods☆249Updated last year
- Improving XGBoost survival analysis with embeddings and debiased estimators☆341Updated 10 months ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,766Updated this week
- Bayesian Additive Regression Trees For Python☆231Updated last year
- DoubleML - Double Machine Learning in Python☆640Updated this week
- Python Accumulated Local Effects package☆169Updated 2 years ago
- Probabilistic Gradient Boosting Machines☆156Updated last year
- Functional Data Analysis Python package☆332Updated last month
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆643Updated 7 months ago
- Mixed Effects Random Forest☆232Updated last year
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆277Updated this week
- Python package for conformal prediction☆515Updated 2 months ago
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆421Updated last year
- A Python package for modular causal inference analysis and model evaluations☆785Updated 4 months ago
- An extension of CatBoost to probabilistic modelling☆147Updated last year
- ☆122Updated this week
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆533Updated last month
- A power-full Shapley feature selection method.☆210Updated last year