An extension of XGBoost to probabilistic modelling

• UpdatedDec 11, 2025
• Python

Code for paper "Copula-based conformal prediction for Multi-Target Regression"

• UpdatedApr 1, 2021
• Python

A Multi-Output Regression Framework in Python

• UpdatedDec 22, 2020
• Python

An extension of Py-Boost to probabilistic modelling

• UpdatedJan 19, 2023
• Python

🌳MultiLGBM🌳: A simple multi-objective regression example to show how to trade-off objectives on the Pareto front with a single LGBM model.

• UpdatedApr 9, 2025
• Python

A machine learning library for regression, which implements a new formulation of gradient boosting.

• UpdatedOct 17, 2022
• Python

Predict the net rate of bike renting

• UpdatedAug 30, 2018
• Jupyter Notebook

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

• UpdatedDec 15, 2025
• C++

A simple parameter reconstruction workflow using well-established machine learning algorithms and neural networks. The workflow is implemented and explained step-by-step in a Jupyter notebook.

• UpdatedOct 30, 2020
• Jupyter Notebook

자율주행 센서의 안테나 성능 예측 AI 경진대회, LG AI Research (2022.08.01 ~ 2022.08.26)

• UpdatedJun 23, 2024
• Python

Final Rank - 81 out of 5060

• UpdatedSep 5, 2020
• Jupyter Notebook

A multi-target regression algorithm based on Gaussian process regression

• UpdatedDec 4, 2023
• R

Kr8cht study-choice project: multi-target regression (MTR) on Dutch activity descriptions to predict eight curricular domain scores and six RIASEC traits. Includes code and artifacts for the ACM SAC 2026 Artificial Intelligence for Education track

• UpdatedDec 11, 2025
• Jupyter Notebook