fabsig / GPBoostLinks
Combining tree-boosting with Gaussian process and mixed effects models
☆642Updated 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☆670Updated last week
- An extension of LightGBM to probabilistic modelling☆345Updated this week
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆638Updated last year
- Multiple Imputation with LightGBM in Python☆396Updated last month
- High performance Python GLMs with all the features!☆361Updated last week
- Time should be taken seer-iously☆319Updated 2 years ago
- A python library to build Model Trees with Linear Models at the leaves.☆387Updated last year
- Fast SHAP value computation for interpreting tree-based models☆546Updated 2 years ago
- A Python package for causal inference in quasi-experimental settings☆1,072Updated this week
- Quantile Regression Forests compatible with scikit-learn.☆249Updated this week
- [CONTRIBUTORS WELCOME] Generalized Additive Models in Python☆931Updated this week
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆659Updated 10 months ago
- Bayesian Additive Regression Trees For Python☆230Updated last year
- Probabilistic prediction with XGBoost.☆120Updated 8 months ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,491Updated last week
- Functional Data Analysis Python package☆335Updated last month
- Mixed Effects Random Forest☆234Updated last year
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆435Updated last year
- Probabilistic Gradient Boosting Machines☆157Updated last year
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆291Updated this week
- Python package for missing-data imputation with deep learning☆156Updated last year
- BAyesian Model-Building Interface (Bambi) in Python.☆1,221Updated last week
- Improving XGBoost survival analysis with embeddings and debiased estimators☆342Updated last year
- Python package for Imputation Methods☆251Updated last year
- DoubleML - Double Machine Learning in Python☆678Updated last week
- All Relevant Feature Selection☆142Updated 7 months ago
- Python package for conformal prediction☆544Updated last month
- ☆130Updated last week
- A Python package for modular causal inference analysis and model evaluations☆799Updated 7 months ago
- A high-performance implementation of Wilkinson formulas for Python.☆426Updated 2 months ago