Binary Classification

Szilard's machine learning benchmarkR

A minimal benchmark comparing scalability, speed, and accuracy of popular open-source machine learning libraries for binary classification.

aequitasPython

An open-source toolkit for auditing bias and experimenting with fairness methods in machine learning models.

ShapleyPython

A Python library for evaluating binary classifiers in machine learning ensembles using Shapley value computation and approximation methods.

scorecardR

An R package for developing traditional credit risk scorecard models with functions for data preprocessing, WOE binning, variable selection, and performance evaluation.

Kaggle Dogs vs. CatsPython

Code for the Kaggle Dogs vs. Cats image classification competition using deep learning.

ROCAnalysisJupyter Notebook

A Julia package for efficient Receiver Operating Characteristic analysis, including ROC/DET plotting, cost function analysis, and performance metrics for probabilistic binary classifiers.

NNFlowPython

A simple interface for converting ROOT nTuples to NumPy arrays and using them in TensorFlow for neural network training.