Predictive Modeling

MLJJulia

A Julia machine learning framework providing a unified interface and meta-algorithms for over 200 models.

NGBoostJupyter Notebook

A Python library for probabilistic prediction using natural gradient boosting, built on scikit-learn.

mlrR

A unified interface and infrastructure for machine learning in R, supporting classification, regression, clustering, and survival analysis.

imodelsJupyter Notebook

A Python package for concise, transparent, and accurate predictive modeling with sklearn-compatible interpretable models.

skforecastPython

A Python library for time series forecasting using scikit-learn compatible machine learning models.

libfmC++

A software implementation of factorization machines for estimating interactions between categorical variables in large datasets.

decisiontreeRuby

A Ruby library implementing the ID3 algorithm for decision tree learning with support for continuous and discrete datasets.

dalexPython

A model-agnostic toolkit for exploring and explaining the behavior of complex machine learning models in R and Python.

OpenChemPython

A deep learning toolkit for computational chemistry and drug design research with PyTorch backend.

epsRuby

A Ruby library for building and serving predictive models with support for PMML and integration with Python and R models.

RuleFitPython

Python implementation of the RuleFit algorithm for interpretable machine learning predictions using rule ensembles.

Huang et al ClinicalBERTJupyter Notebook

A BERT-based language model pretrained on clinical notes for predicting hospital readmissions and analyzing medical text.

skproPython

A scikit-learn compatible Python library for probabilistic regression, survival analysis, and probability distributions.

SuperLearnerR

An R package for automatic optimal predictor ensembling via cross-validation with dozens of machine learning algorithms.

machine learningJavaScript

A web interface and REST API for classification and regression using Support Vector Machine (SVM) and Support Vector Regression (SVR) algorithms.

StackingPython

A Python library for stacked generalization (ensemble learning) that supports scikit-learn, XGBoost, and Keras models with out-of-fold prediction saving.

xgbRuby

A Ruby interface to XGBoost, providing high-performance gradient boosting for machine learning tasks.

kaggle_acquire-valued-shoppers-challengePython

Feature generation code for the Kaggle Acquire Valued Shoppers Challenge, focusing on customer behavior prediction.