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1. GPBoost GPBoost Public

   Combining tree-boosting with Gaussian process and mixed effects models

   C++ 580 46

2. KTBoost KTBoost Public

   A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.

   Python 63 19

3. GradientNewtonBoosting GradientNewtonBoosting Public

   Comparing gradient and Newton boosting

   Python 4

4. spate spate Public

   spate: Spatio-Temporal Modeling of Large Data Using a Spectral SPDE Approach

   R 1 1

5. Compare_ML_HighCardinality_Categorical_Variables Compare_ML_HighCardinality_Categorical_Variables Public

   Machine Learning Methods for High-Cardinality Categorical Data

   R 2

6. Comparison_GLMM_Packages Comparison_GLMM_Packages Public

   Comparing Software Packages for Generalized Linear Mixed Effects Models (GLMMs)

   R 1