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The repository contains research and educational projects.
Before creating new repository, please read this friendly manual
Implementation of Implicit Reparameterization Trick
[BMM 24-25] HippoTrainer: Gradient-Based Hyperparameter Optimization
Jupyter Notebook 10
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.
Учебный проект по байесовскому мультимоделированию студентов первого курса магистратуры 25/26 года обучения. Авторы : Соболевский Федор, Набиев Мухаммадшариф, Василенко Дмитрий, Касюк Вадим
The problem of decoding simultaneously collected EEG-fMRI data is under investigation.
Removing groups of weights from a neural network based on the deep learning computation graph analyzing and estimation of information flow transferred through it.
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