Cava Lab (cavalab)

Cava Lab

cavalab

Geek Repo

Advancing interpretable and fair digital health. Run by @lacava

Location:United States of America

Home Page:http://cavalab.org

Twitter:@w_la_cava

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Cava Lab's repositories

srbench

A living benchmark framework for symbolic regression

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ellyn

python-wrapped version of ellen, a linear genetic programming system for symbolic regression and classification.

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feat

A feature engineering automation tool for learning data representations

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fomo

fairness-oriented multi-objective optimization

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ecg-survival-benchmark

A benchmark of mortality risk prediction models using electrocardiograms.

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brush

An interpretable machine learning library

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lexicase_runtime

Experiment code for the paper "Population Diversity Leads to Short Running Times of Lexicase Selection"

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pmcboost

proportional multicalibration boosting

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proportional-multicalibration

reconciling multi-calibration and differential fairness/privacy

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ai-efm

Deep learning models for predicting fetal distress from electronic fetal monitoring.

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interfair

Bias Detection Tool Entry for the #ExpeditionHacks Competition

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mimic3-benchmarks

Benchmarks FEAT on the machine learning datasets from the MIMIC-III 💊 clinical database.

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fomo-gecco23

Code for experiment testing github.com/cavalab/fomo

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m4gp-gametes

M4GP runs on GAMETES datasets.

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manylinux-wheel-builder

This action builds manylinux wheels for several recent versions of Python (3.6 - 3.9) and publishes to pypi. It uses docker image provided by pypa's manylinux project. We are using manylinux2010_x86_64 docker image which requires pip >= 19.0 on the client installing the built wheel.

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teach-unix

how to exit vim: an intro to working in unix

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.github

Interpretable and fair machine learning for digital health

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eql

implementation of EQL https://github.com/martius-lab/EQL

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marginal-intersectional

https://cavalab.org/marginal-intersectional

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mimic-iv-admissions

Code to preprocess MIMIC-IV for building risk prediction models

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staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

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ubuntu-slurm

Steps to create a small slurm cluster with GPU enabled nodes

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