[BMM 24-25] Optimization operators as evidence estimators
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Updated
Dec 17, 2024 - Python
[BMM 24-25] Optimization operators as evidence estimators
Implementation of Bayesian NN compression technics, Имплементация байесовских методов сжатия нейронных сетей
This repository contains an implementation of the BoLID: Body Lightning ID Diffusion method, for creating avatars by text description only.
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.
Проект для курса "Моя первая научная статья". Задача 137: "Бинарные нейронные сети в img-to-img задачах". Project for "My first scientific paper" course. Topic 137: "Binary neural networks in img-to-img tasks".
Multitask learning techniques implemented in Python
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