Projects in Awesome Lists by EpistasisLab

https://github.com/epistasislab/tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn u01ag066833

Last synced: 12 May 2025

https://github.com/EpistasisLab/tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn u01ag066833

Last synced: 14 Mar 2025

https://epistasislab.github.io/tpot/

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn u01ag066833

Last synced: 05 May 2025

https://github.com/EpistasisLab/pmlb

PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.

Last synced: 26 Apr 2025

https://github.com/epistasislab/pmlb

PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.

Last synced: 15 May 2025

https://github.com/epistasislab/kragen

Software to implement GoT with a weviate vectorized database

Last synced: 03 Oct 2025

https://github.com/epistasislab/scikit-rebate

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

data-science feature-selection python

Last synced: 16 May 2025

https://github.com/EpistasisLab/scikit-rebate

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

data-science feature-selection python

Last synced: 27 Mar 2025

https://github.com/epistasislab/aliro

Aliro: AI-Driven Data Science

adsp ag066833 aiml alzheimer alzheimers alzheimers-disease automl nia u01ag066833

Last synced: 14 Dec 2025

https://github.com/EpistasisLab/Aliro

Aliro: AI-Driven Data Science

adsp ag066833 aiml alzheimer alzheimers alzheimers-disease automl nia u01ag066833

Last synced: 23 Apr 2025

https://github.com/epistasislab/tpot2

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization lm010098 machine-learning model-selection nia parameter-tuning python random-forest scikit-learn

Last synced: 09 Apr 2025

https://github.com/epistasislab/clinicaldatasources

Open or Easy Access Clinical Data Sources for Biomedical Research

Last synced: 27 Jun 2025

https://github.com/epistasislab/scikit-mdr

A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.

Last synced: 09 Apr 2025

https://github.com/epistasislab/rebate

Relief Based Algorithms of ReBATE implemented in Python with Cython optimization. This repository is no longer being updated. Please see scikit-rebate.

cython data-science feature-selection

Last synced: 16 Apr 2025

https://github.com/epistasislab/mimic_trajectories

Last synced: 16 Apr 2025

https://github.com/epistasislab/escargot

Last synced: 16 Apr 2025

https://github.com/epistasislab/alzkb

adsp ag066833 aiml alzheimer alzheimers alzheimers-disease automl nia u01ag066833

Last synced: 16 Apr 2025

https://github.com/epistasislab/digen

Diverse and generative ML benchmarks

Last synced: 16 Apr 2025

https://github.com/epistasislab/3dheatmap

3D Heatmap tool in Unity3D. Inst. for Biomed. Informatics, Univ. of PA

Last synced: 16 Apr 2025

https://github.com/epistasislab/ml-analyst

Analysis pipeline for quick ML analyses.

Last synced: 17 Jun 2025

https://github.com/epistasislab/imputation

https://www.biorxiv.org/content/early/2017/07/24/167858

Last synced: 16 Apr 2025

https://github.com/epistasislab/interpret_ehr

Interpretation of machine learning predictions for patient outcomes in electronic health records

Last synced: 26 Jul 2025

https://github.com/epistasislab/autoqtl

Automated Quantitative Trait Locus Analysis (AutoQTL)

Last synced: 16 Apr 2025

https://github.com/epistasislab/hibachi

Data simulation software that creates data sets with particular characteristics

Last synced: 08 Jul 2025

https://github.com/epistasislab/ebic.jl

EBIC - a biclustering algorithm in Julia

Last synced: 02 Sep 2025

https://github.com/epistasislab/qsar-gnn

Last synced: 07 Nov 2025

https://github.com/epistasislab/epistasislab.github.io

Identifying the complex genetic architectures of disease

Last synced: 09 Mar 2025

https://github.com/epistasislab/regens

Recombines real genomic segments to simulate whole genomes

gwas-tools simulated-datasets

Last synced: 16 Apr 2025

https://github.com/epistasislab/rebate-benchmark

A centralized repository to benchmark ReBATE performance across a variety of parameter settings and datasets.

Last synced: 24 Aug 2025

https://github.com/epistasislab/dtox

A knowledge-guided deep learning model for prediction and interpretation of drug toxicity

Last synced: 07 Dec 2025

https://github.com/epistasislab/safe

The SAFE Algorithm: Solution and Fitness Evolution

automation coevoluton evolutionary-algorithms python

Last synced: 05 Oct 2025

https://github.com/epistasislab/evolved-stats

A research project using genetic programming to discover and optimize statistical tests.

Last synced: 24 Jul 2025

https://github.com/epistasislab/pager

PAGER is an efficient genotype encoding strategy designed to improve the detection of non-additive genetic variation in complex trait association studies. PAGER dynamically encodes genetic variants by normalizing mean phenotypic differences between genotype classes.

additive-models dominance-analysis encoding epistasis genetic-inheritance genetic-interactions genetics genotype-to-phenotype gwas heterosis non-additive-effects qtl-analysis

Last synced: 09 Jul 2025

https://github.com/epistasislab/gecco2017-new-benchmarking-standards

Pages for workshops run by Epistasis Lab members

Last synced: 06 Oct 2025

https://github.com/epistasislab/gpt4_and_review

Using GPT-4 to write a scientific review article: a pilot evaluation study

Last synced: 09 Mar 2025

https://github.com/epistasislab/tpot-kaggle

tpot applications on kaggle datasets

Last synced: 16 Apr 2025

https://github.com/epistasislab/omnirep

The OMNIREP algorithm: Coevolving encodings and representations

automation coevoluton evolutionary-algorithms python

Last synced: 18 Jul 2025

https://github.com/epistasislab/epistasis_detection

Implementation of an efficient algorithm to compute linear regression models for epistasis that permit varied genetic encodings (penetrance functions) of the interactions of loci and provide statistical evidence for epistasis.

Last synced: 12 Sep 2025