EpistasisLab/scikit-rebate
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
PythonMIT
Stargazers
- acoronadoiruegasabxda
- alxndrkalininBroad Institute of MIT and Harvard
- bendaizerFrance
- cathalgarvey@scrapinghub
- codinguncutSensatus Ltd.
- ddofer@SparkBeyond @LinialLab @Comocomo
- djwessel@motius
- drakeeee
- ehudbaumatz
- gurudave
- hmartiniano
- hubertgabrys@medical-physics-usz
- Jiannan28HK SG Paris Beijing
- jithurjacobIndia
- jkryanchou
- jmerkin
- jpvaldesBerlin, Germany
- julioasotodvMadrid, Spain
- kmike@zytedata, @ScrapingHub
- ljvmiranda921@allenai
- lukauskasMunich
- mingdongtms
- mquadPolitecnico di Milano
- nickmancolBogota, Colombia
- ohuarcaya
- pashanv
- reiinakano@openai
- sabyasm
- sainathadapa@spotify
- santoshgskBengaluru, India
- shunsunsunyonsei university
- smalikPlytos Inc.
- tommontroy
- turtlemonvhFeaturespace
- vnnwShanghai, China
- zhpmatrixHangZhou