CDonnerer / xgboost-distributionView external linksLinks
Probabilistic prediction with XGBoost.
☆120Mar 22, 2025Updated 10 months ago
Alternatives and similar repositories for xgboost-distribution
Users that are interested in xgboost-distribution are comparing it to the libraries listed below
Sorting:
- An extension of LightGBM to probabilistic modelling☆358Dec 11, 2025Updated 2 months ago
- An extension of Py-Boost to probabilistic modelling☆24Jan 19, 2023Updated 3 years ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,827Nov 21, 2025Updated 2 months ago
- ☆10Oct 15, 2019Updated 6 years ago
- Nested Cross-Validation for Bayesian Optimized Gradient Boosting☆20Apr 7, 2020Updated 5 years ago
- ☆25Jan 9, 2026Updated last month
- A python library to build Model Trees with Linear Models at the leaves.☆388Jul 19, 2024Updated last year
- Gradient boosting on steroids☆28Jun 17, 2024Updated last year
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆644Feb 19, 2024Updated last year
- A package to parse NBA play by play pandas dataframes and calculate statistics☆16Dec 27, 2022Updated 3 years ago
- Toolkit to forge scikit-learn compatible estimators☆19Feb 1, 2026Updated last week
- Quantile Regression Forests compatible with scikit-learn.☆253Jan 19, 2026Updated 3 weeks ago
- Python package for conformal prediction☆553Oct 9, 2025Updated 4 months ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,511Feb 6, 2026Updated last week
- NFL Big Data Bowl 2021☆17Feb 22, 2021Updated 4 years ago
- Probabilistic Gradient Boosting Machines☆157Feb 8, 2024Updated 2 years ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆296Jan 23, 2026Updated 3 weeks ago
- Conformalized Quantile Regression☆302Feb 2, 2026Updated last week
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆584Jun 8, 2024Updated last year
- implementation of Cyclic Boosting machine learning algorithms☆95Sep 2, 2024Updated last year
- Python based GBDT implementation on GPU. Efficient multioutput (multiclass/multilabel/multitask) training☆198Jun 16, 2025Updated 7 months ago
- Pydata talk - Football Analytics Using Hierarchical Bayesian Models in PyMC☆25Oct 30, 2021Updated 4 years ago
- NBA stats and analysis☆11Feb 26, 2023Updated 2 years ago
- Mis proyectos de marketing aplicando AI☆11Oct 31, 2025Updated 3 months ago
- ☆12Oct 31, 2020Updated 5 years ago
- [KOR] Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.