fabsig / GPBoost
Combining tree-boosting with Gaussian process and mixed effects models
☆567Updated this week
Related projects ⓘ
Alternatives and complementary repositories for GPBoost
- An extension of XGBoost to probabilistic modelling☆558Updated 3 months ago
- Multiple Imputation with LightGBM in Python☆352Updated 3 months ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆582Updated 8 months ago
- Time should be taken seer-iously☆312Updated last year
- A Python package for causal inference in quasi-experimental settings☆901Updated this week
- An extension of LightGBM to probabilistic modelling☆273Updated 4 months ago
- A python library to build Model Trees with Linear Models at the leaves.☆356Updated 3 months ago
- Fast SHAP value computation for interpreting tree-based models☆521Updated last year
- Improving XGBoost survival analysis with embeddings and debiased estimators☆321Updated last month
- Quantile Regression Forests compatible with scikit-learn.☆209Updated this week
- High performance Python GLMs with all the features!☆312Updated this week
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆616Updated 3 weeks ago
- Python implementation of the rulefit algorithm☆411Updated last year
- Hierarchical Time Series Forecasting with a familiar API☆222Updated last year
- Python package for Imputation Methods☆242Updated 10 months ago
- Mixed Effects Random Forest☆219Updated 4 months ago
- Forecasting with Gradient Boosted Time Series Decomposition☆187Updated last year
- A power-full Shapley feature selection method.☆198Updated 6 months ago
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆477Updated 2 weeks ago
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆367Updated 6 months ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆247Updated this week
- A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.☆1,297Updated this week
- An extension of CatBoost to probabilistic modelling☆141Updated last year
- Probabilistic prediction with XGBoost.☆100Updated 4 months ago
- Bayesian Additive Regression Trees For Python☆220Updated 10 months ago
- Python Accumulated Local Effects package☆158Updated last year
- BAyesian Model-Building Interface (Bambi) in Python.☆1,077Updated last month
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆466Updated last year
- Examples of PyMC models, including a library of Jupyter notebooks.☆288Updated last month
- Phi_K correlation analyzer library☆156Updated this week