Top Repositories
Tree-Boosting, Gaussian Processes, and Mixed-Effects Models
A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.
Comparing gradient and Newton boosting
Machine Learning Methods for High-Cardinality Categorical Data
spate: Spatio-Temporal Modeling of Large Data Using a Spectral SPDE Approach
Comparing Software Packages for Generalized Linear Mixed Effects Models (GLMMs)
Repositories
28Tree-Boosting, Gaussian Processes, and Mixed-Effects Models
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Simulation studies and real-world applications for the paper "Scalable Computations for Generalized Mixed Effects Models with Crossed Random Effects Using Krylov Subspace Methods"
Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
Machine Learning Methods for High-Cardinality Categorical Data
spate: Spatio-Temporal Modeling of Large Data Using a Spectral SPDE Approach
Comparing Software Packages for Generalized Linear Mixed Effects Models (GLMMs)
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R app for daily Covid-19 Re estimates
SDS course ETHZ, Apr 2-3 2025
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A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.
This repository contains the R code for the simulations in the paper "Iterative Methods for Vecchia-Laplace Approximations for Latent Gaussian Process Models".
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Compute SHAP values for your tree-based models using the TreeSHAP algorithm
Comparing gradient and Newton boosting
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Training and Testing a Set of Machine Learning/Deep Learning Models to Predict Airbnb Prices for NYC
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A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
A header-only C++ library for large scale eigenvalue problems
Create dummy variables in SPSS with Python 3 support for SPSS version 27 and latter
A game theoretic approach to explain the output of any machine learning model.