python-wrapped version of ellen, a linear genetic programming system for symbolic regression and classification.
Identifying the complex genetic architectures of disease
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
ENSEMBL VEP on EC2
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
Pages for workshops run by Epistasis Lab members
A Python tool that automatically creates and optimizes machine learning pipelines using genetic programming.
Open or Easy Access Clinical Data Sources for Biomedical Research
A large, curated repository of benchmarks for evaluating supervised machine learning algorithms.
Relief Based Algorithms in Python
tpot applications on kaggle datasets
Scripts that I wrote for use on the Penn LPC