A Python/C++ implementation of Bayesian Factorization Machines
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Updated
Sep 3, 2024 - C++
A Python/C++ implementation of Bayesian Factorization Machines
Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis
A Bayesian grouped mixture of regressions model capable of estimating SNP marker effect sizes for multiple outcomes simultaneously
R package CORElearn
A CLI program 👨💻 used to analyse and build machine learning regression models 🤖 of CSV while showing the plots and predicting values
Microsoft Windows screensaver, simulating and displaying the principle of bivariate regression or correlation as part of the SCHRAUSSER-MAT tool compilation.
Something I worked on when I started learning about machine learning. This program trains itself to guess which of the two given numbers is the greatest using a given predefined data set.
Machine Learning Library for C++
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