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SToG is an educational project for the course Bayesian Multimodeling by Eynullayev Altay, Rubtsov Denis, Firsov Sergey and Karpeev Gleb. SToG - is a library for feature selection using different stochastic gating approaches.

  • Updated Dec 18, 2025
  • Python

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