An extension of XGBoost to probabilistic modelling
☆704Dec 11, 2025Updated 4 months ago
Alternatives and similar repositories for XGBoostLSS
Users that are interested in XGBoostLSS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An extension of LightGBM to probabilistic modelling☆382Mar 18, 2026Updated last month
- An extension of CatBoost to probabilistic modelling☆148Oct 27, 2023Updated 2 years ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,872Mar 24, 2026Updated last month
- An extension of Py-Boost to probabilistic modelling☆24Jan 19, 2023Updated 3 years ago
- Probabilistic prediction with XGBoost.☆121Mar 22, 2025Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Tree-Boosting, Gaussian Processes, and Mixed-Effects Models☆678Apr 29, 2026Updated last week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,541Updated this week
- Distributional Gradient Boosting Machines☆28Dec 13, 2022Updated 3 years ago
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆443Apr 23, 2024Updated 2 years ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆323Updated this week
- XGBoost + Optuna☆726Sep 14, 2024Updated last year
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆652Feb 19, 2024Updated 2 years ago
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,233Mar 28, 2026Updated last month
- 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
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A python library to build Model Trees with Linear Models at the leaves.☆389Jul 19, 2024Updated last year
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,586Apr 28, 2026Updated last week
- A Python package for modular causal inference analysis and model evaluations☆812Apr 6, 2025Updated last year
- Python package for conformal prediction☆574Oct 9, 2025Updated 6 months ago
- Probabilistic Gradient Boosting Machines☆161Feb 8, 2024Updated 2 years ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆584Jun 8, 2024Updated last year
- ☆14Jun 11, 2018Updated 7 years ago
- A Library for Uncertainty Quantification.☆924Apr 23, 2025Updated last year
- Forecasting with Hyper-Trees☆21Aug 8, 2025Updated 8 months ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Extra blocks for scikit-learn pipelines.☆1,391Updated this week
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,049Mar 3, 2026Updated 2 months ago
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆742Apr 27, 2026Updated last week
- Quantile Regression Forests compatible with scikit-learn.☆254Apr 13, 2026Updated 3 weeks ago
- A python package for time series forecasting with scikit-learn estimators.☆162Apr 4, 2024Updated 2 years ago
- Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models☆1,484Apr 29, 2026Updated last week
- A unified framework for Deep Learning Models on tabular data☆1,659Apr 17, 2026Updated 2 weeks ago
- implementation of Cyclic Boosting machine learning algorithms☆95Sep 2, 2024Updated last year
- Hierarchical Time Series Forecasting with a familiar API☆227May 12, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Multiple quantiles estimation model maintaining non-crossing condition (or monotone quantile condition) and preventing quantile crossing …☆40Apr 28, 2026Updated last week
- ☆147Apr 28, 2026Updated last week
- Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…☆767Aug 20, 2024Updated last year
- Scalable machine 🤖 learning for time series forecasting.☆1,218Apr 28, 2026Updated last week
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆536Jan 6, 2026Updated 3 months ago
- Survival analysis built on top of scikit-learn☆1,294Apr 7, 2026Updated 3 weeks ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,624Nov 13, 2025Updated 5 months ago