stanfordmlgroup / ngboostLinks
Natural Gradient Boosting for Probabilistic Prediction
☆1,781Updated 3 weeks ago
Alternatives and similar repositories for ngboost
Users that are interested in ngboost are comparing it to the libraries listed below
Sorting:
- Python implementations of the Boruta all-relevant feature selection method.☆1,590Updated 3 weeks ago
- An extension of XGBoost to probabilistic modelling☆647Updated last month
- python partial dependence plot toolbox☆861Updated last year
- Hyper-parameter optimization for sklearn☆1,644Updated 5 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,500Updated last month
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆634Updated last year
- [CONTRIBUTORS WELCOME] Generalized Additive Models in Python☆915Updated last month
- A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima…☆1,677Updated 10 months ago
- A library of sklearn compatible categorical variable encoders☆2,462Updated 3 months ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆525Updated 6 months ago
- Leave One Feature Out Importance☆838Updated 7 months ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,794Updated last year
- ML-Ensemble – high performance ensemble learning☆859Updated last year
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,000Updated 3 months ago
- Feature engineering package with sklearn like functionality☆2,132Updated 3 weeks ago
- PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf☆2,850Updated 11 months ago
- Extra blocks for scikit-learn pipelines.☆1,360Updated 2 weeks ago
- A Python library for dynamic classifier and ensemble selection☆492Updated last year
- machine learning with logical rules in Python☆645Updated last year
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,446Updated 2 months ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,775Updated 5 months ago
- A standard framework for modelling Deep Learning Models for tabular data☆1,569Updated last week
- Algorithms for explaining machine learning models☆2,559Updated last week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,464Updated this week
- Multivariate imputation and matrix completion algorithms implemented in Python☆1,279Updated last year
- Python package for stacking (machine learning technique)☆695Updated last week
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆579Updated last year
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,373Updated last year
- DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow☆598Updated last year
- Combining tree-boosting with Gaussian process and mixed effects models☆636Updated last week