stanfordmlgroup / ngboostLinks
Natural Gradient Boosting for Probabilistic Prediction
☆1,711Updated last week
Alternatives and similar repositories for ngboost
Users that are interested in ngboost are comparing it to the libraries listed below
Sorting:
- An extension of XGBoost to probabilistic modelling☆616Updated last month
- python partial dependence plot toolbox☆854Updated 8 months ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,571Updated 9 months ago
- Hyper-parameter optimization for sklearn☆1,629Updated last month
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆615Updated last year
- ML-Ensemble – high performance ensemble learning☆856Updated last year
- A library of sklearn compatible categorical variable encoders☆2,447Updated 2 months ago
- Python implementation of the rulefit algorithm☆420Updated last year
- moDel Agnostic Language for Exploration and eXplanation☆1,424Updated 3 months ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆522Updated 2 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,461Updated 2 months ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,322Updated 11 months ago
- PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf☆2,774Updated 7 months ago
- Fast SHAP value computation for interpreting tree-based models☆540Updated last year
- Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data☆487Updated 4 years ago
- machine learning with logical rules in Python☆637Updated last year
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,771Updated last month
- A Python library for dynamic classifier and ensemble selection☆488Updated last year
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,404Updated this week
- Feature engineering package with sklearn like functionality☆2,060Updated last month
- An extension of LightGBM to probabilistic modelling☆312Updated 11 months ago
- Python package for stacking (machine learning technique)☆692Updated 9 months ago
- Algorithms for explaining machine learning models☆2,504Updated 3 weeks ago
- Leave One Feature Out Importance☆835Updated 3 months ago
- A standard framework for modelling Deep Learning Models for tabular data☆1,522Updated this week
- Extra blocks for scikit-learn pipelines.☆1,335Updated last month
- [HELP REQUESTED] Generalized Additive Models in Python☆897Updated 11 months ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆1,971Updated 2 months ago
- The machine learning toolkit for time series analysis in Python☆2,983Updated 10 months ago
- Survival analysis built on top of scikit-learn☆1,197Updated 3 weeks ago