Tree-Boosting, Gaussian Processes, and Mixed-Effects Models
☆665Mar 9, 2026Updated 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☆694Dec 11, 2025Updated 3 months ago
- An extension of LightGBM to probabilistic modelling☆364Dec 11, 2025Updated 3 months ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,846Feb 25, 2026Updated 3 weeks ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Nov 22, 2021Updated 4 years ago
- Probabilistic prediction with XGBoost.☆121Mar 22, 2025Updated 11 months ago
- An extension of CatBoost to probabilistic modelling☆149Oct 27, 2023Updated 2 years ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆649Feb 19, 2024Updated 2 years ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,527Mar 12, 2026Updated last week
- Probabilistic Gradient Boosting Machines☆158Feb 8, 2024Updated 2 years ago
- [CONTRIBUTORS WELCOME] Generalized Additive Models in Python☆979Jan 22, 2026Updated last month
- Mixed Effects Random Forest☆240Jun 17, 2024Updated last year
- Extra blocks for scikit-learn pipelines.☆1,383Mar 12, 2026Updated last week
- A python library to build Model Trees with Linear Models at the leaves.☆389Jul 19, 2024Updated last year
- A Python package for causal inference in quasi-experimental settings☆1,126Updated this week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,573Feb 24, 2026Updated 3 weeks ago
- BAyesian Model-Building Interface (Bambi) in Python.☆1,248Mar 2, 2026Updated 2 weeks ago
- Hierarchical Time Series Forecasting with a familiar API☆226May 12, 2023Updated 2 years ago
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆677Feb 19, 2025Updated last year
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆314Mar 10, 2026Updated last week
- Quantile Regression Forests compatible with scikit-learn.☆252Mar 9, 2026Updated last week
- Survival analysis built on top of scikit-learn☆1,282Mar 11, 2026Updated last week
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,211Mar 9, 2026Updated last week
- Uplift modeling and causal inference with machine learning algorithms☆5,765Updated this week
- An extension of Py-Boost to probabilistic modelling☆24Jan 19, 2023Updated 3 years ago
- Python based GBDT implementation on GPU. Efficient multioutput (multiclass/multilabel/multitask) training☆199Jun 16, 2025Updated 9 months ago
- Efficient matrix representations for working with tabular data☆132Mar 9, 2026Updated last week
- Python implementations of the Boruta all-relevant feature selection method.☆1,622Nov 13, 2025Updated 4 months ago
- Mixed Effect Machine Learning☆10Apr 16, 2020Updated 5 years ago
- Python package for conformal prediction☆558Oct 9, 2025Updated 5 months ago
- Distributional Gradient Boosting Machines☆28Dec 13, 2022Updated 3 years ago
- Fit interpretable models. Explain blackbox machine learning.☆6,813Updated this week
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,542Updated this week
- High performance Python GLMs with all the features!☆370Updated this week
- R implementation of VCBART☆22Dec 3, 2025Updated 3 months ago
- DoubleML - Double Machine Learning in Python☆716Mar 12, 2026Updated last week
- Fast SHAP value computation for interpreting tree-based models☆553Jun 26, 2023Updated 2 years ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆585Jun 8, 2024Updated last year
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,444Jun 26, 2024Updated last year
- Statistical package in Python based on Pandas☆1,884Updated this week