Aspasia Vozi (aspav)

aspav

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Company:National & Kapodistrian University of Athens

Location:Athens

Twitter:@aspvozi

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Aspasia Vozi's starred repositories

mlops-zoomcamp

Free MLOps course from DataTalks.Club

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imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

Language:PythonLicense:MITStargazers:6770Issues:141Issues:587

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:2215Issues:97Issues:50

synthea

Synthetic Patient Population Simulator

Language:JavaLicense:Apache-2.0Stargazers:2089Issues:73Issues:569

scikit-survival

Survival analysis built on top of scikit-learn

Language:PythonLicense:GPL-3.0Stargazers:1108Issues:23Issues:218

pycox

Survival analysis with PyTorch

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Daily-Dose-of-Data-Science

A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/

Language:Jupyter NotebookStargazers:759Issues:53Issues:1

jupyter_pivottablejs

Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js

Language:PythonLicense:NOASSERTIONStargazers:673Issues:21Issues:64

smote_variants

A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

Language:Jupyter NotebookLicense:MITStargazers:615Issues:16Issues:35

keras-wtte-rnn

Demo Weibull Time-to-event Recurrent Neural Network in Keras

Language:PythonLicense:MITStargazers:218Issues:13Issues:7

Survival-Analysis-using-Deep-Learning

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis

Intro-to-rnaseq-hpc-O2

This repository has teaching materials for a 2 and 3-day Introduction to RNA-sequencing data analysis workshop using the O2 Cluster

OlinkRPackage

Olink R package: A collection of functions to facilitate analysis of proteomic data from Olink. The goal of this package is to help users extract biological insights from proteomic data run on the Olink platform.

Language:RLicense:AGPL-3.0Stargazers:84Issues:12Issues:66

iGEM-distribution

Repository for collective design of an iGEM DNA distribution

Language:PythonLicense:NOASSERTIONStargazers:42Issues:3Issues:189

YAIB

🧪Yet Another ICU Benchmark: a holistic framework for the standardization of clinical prediction model experiments. Provide custom datasets, cohorts, prediction tasks, endpoints, preprocessing, and models. Paper: https://arxiv.org/abs/2306.05109

Language:PythonLicense:MITStargazers:42Issues:5Issues:71

dithesis

Thesis class for undergraduate theses at the University of Athens

Language:TeXLicense:LPPL-1.3cStargazers:38Issues:1Issues:1

primock57

Dataset of 57 mock medical primary care consultations: audio, consultation notes, human utterance-level transcripts.

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Language:Jupyter NotebookLicense:CC-BY-4.0Stargazers:26Issues:9Issues:7
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ehr_ml

Code for doing machine learning with various EHRs

Language:C++License:MITStargazers:20Issues:8Issues:22

survival_cluster_analysis

ACM CHIL 2020: "Survival Cluster Analysis"

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:16Issues:3Issues:3

supplementary-material

A bookdown-based collection of supplementary material from the clinical prediction models book.

SurvivalAnalysisSurvey

Machine Learning for Survival Analysis: A Survey

License:MITStargazers:11Issues:1Issues:0

PLGroup_AI4MedLife-journalclub

info for the COMPUTE peer-learning group "AI for Medicine and Life Sciences - Journal Club"

Stargazers:7Issues:0Issues:0

meningioma

meningioma.app is the companion app to our paper, "Individual-patient prediction of meningioma malignancy and survival using the Surveillance, Epidemiology, and End Results database"

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ReciPys

🥧ReciPys: easily define and execute preprocessing and feature engineering steps on Pandas dataframes.

Language:PythonLicense:MITStargazers:3Issues:2Issues:4

MTMT

Tensor-based Temporal Multi-Task Survival Analysis

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Machine-Learning-Reference

Machine learning summary that will always be growing

Language:Jupyter NotebookLicense:MITStargazers:1Issues:1Issues:15