kondratevakate

Ekaterina Kondrateva's repositories

mri-deep-learning-tools

Resurces for MRI images processing and deep learning in 3D

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3d-deformable-convolutions

A repository with a basic layer of 3D deformable receptive field for 3D VoxCNN and 3D VoxResNet

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machine-learning-with-love

express course in ML to fell in love with

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fmri-fader-net

Fader Networks for domain adaptation on fMRI: ABIDE-II study

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mri-epilepsy-diagnosis

Automated detection of focal cortical dysplasia

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fmri-domain-adaptation-zoo

Domain Adaptation DL methods adapted for functional MRI (fMRI) data analysis. Enjoy building domain-agnostic models on all levels of data abstraction.

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hse-stat-course-2018

NRU HSE Applied Statistics in Machine Learning course

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NEUROML2020

Skoltech course on Machine Learning in Neuroimaging data, Fall 2020.

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mri-schizoprenia-classification

skoltech-mri-3d-classification

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neurobot

Baseline machine learning models for neuroimaging vectorised data: Neuro Baseline Bot

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brainMRIGenerativeModels

This repo contains architectures of generative models for 3D brain MRI scans.

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clinical-statistics

Basic statistical test and canonical machine learning for medical applictions

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Dora is an experiment management framework. It expresses grid searches as pure python files as part of your repo. It identifies experiments with a unique hash signature. Scale up to hundreds of experiments without losing your sanity.

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