Grow your team on GitHub
GitHub is home to over 28 million developers working together. Join them to grow your own development teams, manage permissions, and collaborate on projects.Sign up
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
EBIC - AI-based parallel biclustering algorithm
Data simulation software that creates data sets with particular characteristics
A workshop for improve benchmarking standards in evolutionary computation research.
A large benchmark study of recent symbolic regression methods
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
Relief Based Algorithms of ReBATE implemented in Python with Cython optimization.
Analysis pipeline for quick ML analyses.
A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
python-wrapped version of ellen, a linear genetic programming system for symbolic regression and classification.
ENSEMBL VEP on EC2
Population utilities for the VEPDB distributed annotation database, with an annotator written in Python
Scripts that I wrote for use on the Penn LPC
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
Collection of different gene expression datasets
Proportional instance cross validation
A centralized repository to benchmark ReBATE performance across a variety of parameter settings and datasets.
Pages for workshops run by Epistasis Lab members
a feature engineering wrapper for sklearn
Identifying the complex genetic architectures of disease
Open or Easy Access Clinical Data Sources for Biomedical Research
tpot applications on kaggle datasets