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☆689Updated last month
- An extension of LightGBM to probabilistic modelling☆358Updated last month
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆643Updated last year
- Multiple Imputation with LightGBM in Python☆402Updated 3 months ago
- Time should be taken seer-iously☆319Updated 2 years ago
- A Python package for causal inference in quasi-experimental settings☆1,098Updated this week
- A python library to build Model Trees with Linear Models at the leaves.☆387Updated last year
- Quantile Regression Forests compatible with scikit-learn.☆253Updated 2 weeks ago
- Probabilistic Gradient Boosting Machines☆157Updated last year
- [CONTRIBUTORS WELCOME] Generalized Additive Models in Python☆947Updated 2 weeks ago
- Mixed Effects Random Forest☆239Updated last year
- High performance Python GLMs with all the features!☆366Updated this week
- Bayesian Additive Regression Trees For Python☆231Updated 2 years ago
- Fast SHAP value computation for interpreting tree-based models☆553Updated 2 years ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,509Updated last week
- ☆135Updated last week
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆440Updated last year
- Python package for conformal prediction☆552Updated 3 months ago
- Probabilistic prediction with XGBoost.☆120Updated 10 months ago
- Python package for Imputation Methods☆251Updated 2 years ago
- Examples of PyMC models, including a library of Jupyter notebooks.☆365Updated last week
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆662Updated last year
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆296Updated 2 weeks ago
- BAyesian Model-Building Interface (Bambi) in Python.☆1,238Updated this week
- Python Accumulated Local Effects package☆170Updated 2 years ago
- An extension of CatBoost to probabilistic modelling☆149Updated 2 years ago
- Improving XGBoost survival analysis with embeddings and debiased estimators☆342Updated last year
- Python package for missing-data imputation with deep learning☆156Updated last year
- Functional Data Analysis Python package☆337Updated 3 months ago
- Forecasting with Gradient Boosted Time Series Decomposition☆198Updated 3 weeks ago