An extension of LightGBM to probabilistic modelling
☆364Dec 11, 2025Updated 2 months ago
Alternatives and similar repositories for LightGBMLSS
Users that are interested in LightGBMLSS are comparing it to the libraries listed below
Sorting:
- An extension of XGBoost to probabilistic modelling☆692Dec 11, 2025Updated 2 months ago
- Probabilistic prediction with XGBoost.☆120Mar 22, 2025Updated 11 months ago
- Distributional Gradient Boosting Machines☆28Dec 13, 2022Updated 3 years ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,833Updated this week
- An extension of Py-Boost to probabilistic modelling☆24Jan 19, 2023Updated 3 years ago
- Quantile Regression Forests compatible with scikit-learn.☆253Jan 19, 2026Updated last month
- Tree-Boosting, Gaussian Processes, and Mixed-Effects Models☆661Updated this week
- Probabilistic Gradient Boosting Machines☆157Feb 8, 2024Updated 2 years ago
- A python library to build Model Trees with Linear Models at the leaves.☆389Jul 19, 2024Updated last year
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,520Updated this week
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆646Feb 19, 2024Updated 2 years ago
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆440Apr 23, 2024Updated last year
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆306Updated this week
- An extension of CatBoost to probabilistic modelling☆149Oct 27, 2023Updated 2 years ago
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,204Updated this week
- implementation of Cyclic Boosting machine learning algorithms☆95Sep 2, 2024Updated last year
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆732Updated this week
- Scalable machine 🤖 learning for time series forecasting.☆1,171Updated this week
- Forecasting with Gradient Boosted Time Series Decomposition☆198Jan 11, 2026Updated last month
- Hierarchical Time Series Forecasting with a familiar API☆226May 12, 2023Updated 2 years ago
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆677Feb 19, 2025Updated last year
- Time Series Forecasting with LightGBM☆86Sep 9, 2022Updated 3 years ago
- Python package for conformal prediction☆555Oct 9, 2025Updated 4 months ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆585Jun 8, 2024Updated last year
- A Python package for modular causal inference analysis and model evaluations☆809Apr 6, 2025Updated 10 months ago
- All Relevant Feature Selection☆142Apr 3, 2025Updated 10 months ago
- Additional linear models including instrumental variable and panel data models that are missing from statsmodels.☆1,030Feb 4, 2026Updated 3 weeks ago
- Time series forecasting with machine learning models☆1,445Updated this week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,573Feb 4, 2026Updated 3 weeks ago
- High performance Python GLMs with all the features!☆368Feb 20, 2026Updated last week
- Extra blocks for scikit-learn pipelines.☆1,379Feb 12, 2026Updated 2 weeks ago
- An intuitive library to extract features from time series.☆1,081Jan 30, 2026Updated last month
- Python implementation of the rulefit algorithm☆440Oct 8, 2023Updated 2 years ago
- Hierarchical Forecasting at Scale☆16Mar 18, 2024Updated last year
- Cyclic Boosting Machines - an explainable supervised machine learning algorithm☆62Sep 3, 2024Updated last year
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…☆515Feb 14, 2026Updated 2 weeks ago
- Automated Time Series Forecasting☆1,373Feb 20, 2026Updated last week
- A python package for time series forecasting with scikit-learn estimators.☆162Apr 4, 2024Updated last year
- Surrogate Assisted Feature Extraction☆37Aug 19, 2021Updated 4 years ago