Probabilistic prediction with XGBoost.
☆119Mar 22, 2025Updated last year
Alternatives and similar repositories for xgboost-distribution
Users that are interested in xgboost-distribution 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☆397Oct 2, 2026Updated 2 weeks ago
- An extension of Py-Boost to probabilistic modelling☆24Jan 19, 2023Updated 3 years ago
- An extension of XGBoost to probabilistic modelling☆730Oct 2, 2026Updated 2 weeks ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,893Oct 8, 2026Updated last week
- Hybrid model to predict long-term deflection of reinforced concrete members☆12Jul 7, 2020Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆11Oct 15, 2019Updated 7 years ago
- Nested Cross-Validation for Bayesian Optimized Gradient Boosting☆20Apr 7, 2020Updated 6 years ago
- Gradient boosting on steroids☆28Jun 17, 2024Updated 2 years ago
- Using probabilistic programming to infer player ratings from matchup data.☆16Nov 16, 2020Updated 5 years ago
- Tree-Boosting, Gaussian Processes, and Mixed-Effects Models☆702Updated this week
- Central hub offering an extensive collection of datasets and tools for energy-related applications.☆15Dec 30, 2023Updated 2 years ago
- Multi-target Random Forest implementation that can mix both classification and regression tasks☆27May 15, 2020Updated 6 years ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆657Feb 19, 2024Updated 2 years ago
- Hyperparameters Spaces for Optimization☆24Jan 21, 2019Updated 7 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- TrueSkill Through Time: the Julia, Python and R packages.☆27Feb 3, 2025Updated last year
- A package to parse NBA play by play pandas dataframes and calculate statistics☆16Dec 27, 2022Updated 3 years ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆337Updated this week
- Python package for conformal prediction☆584Jul 8, 2026Updated 3 months ago
- A python library to build Model Trees with Linear Models at the leaves.☆387Jul 19, 2024Updated 2 years ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,603Updated this week
- Python implementation of adversarial random forests for density estimation and generative modelling☆35Jun 1, 2026Updated 4 months ago
- Native Polars I/O plugin for Delta Lake, backed by delta-kernel-rs.☆26Sep 21, 2026Updated 3 weeks ago
- ☆15Mar 17, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- NBA stats and analysis☆11Feb 26, 2023Updated 3 years ago
- Quantile Regression Forests compatible with scikit-learn.☆255Updated this week
- Probabilistic Gradient Boosting Machines☆161Feb 8, 2024Updated 2 years ago
- Simulator for the UEFA Champions League group stage draw.☆18Aug 31, 2023Updated 3 years ago
- Open-Sourcing Our Hiring Process for Data Scientist and Data Engineer Positions in Hockey☆14Oct 30, 2022Updated 3 years ago
- Conformalized Quantile Regression☆319Feb 2, 2026Updated 8 months ago
- Distributional Gradient Boosting Machines☆28Dec 13, 2022Updated 3 years ago
- Optuna + LightGBM = OptGBM☆35Jul 10, 2022Updated 4 years ago
- Pydata talk - Football Analytics Using Hierarchical Bayesian Models in PyMC☆25Oct 30, 2021Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- [Mach. Learn. 2026] Official implementation of "Monotone Composite Quantile Regression via Second-Order Gradient Boosting Framework"☆48Sep 20, 2026Updated 3 weeks ago
- Week by week data scraped from the next gen stats public website☆10Sep 19, 2019Updated 7 years ago
- ☆12Oct 31, 2020Updated 5 years ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆585Jun 8, 2024Updated 2 years ago
- Gaussian Process Model Building Interface☆52Mar 11, 2025Updated last year
- implementation of Cyclic Boosting machine learning algorithms☆97Sep 2, 2024Updated 2 years ago
- Instance-based uncertainty estimation for gradient-boosted regression trees☆34Jul 25, 2024Updated 2 years ago