sergiouribe

sergiouribe's Stars

• resume/resume.github.com

  Resumes generated using the GitHub informations

  Language:JavaScript62.2k3471191.4k

• microsoft/Data-Science-For-Beginners

  10 Weeks, 20 Lessons, Data Science for All!

  Language:Jupyter Notebook28.8k5161176k

• ismayc/thesisdown

  An updated R Markdown thesis template using the bookdown package

  Language:TeX81227120359

• Harvard-IACS/2019-CS109A

  https://harvard-iacs.github.io/2019-CS109A/

  Language:Jupyter Notebook549702448

• akarlinsky/world_mortality

  World Mortality Dataset: international data on all-cause mortality.

  287203456

• FAIRplus/the-fair-cookbook

  The FAIR cookbook, containing recipes to make your data more FAIR. Find the rendered version on:

  Language:JavaScript1321327260

• uwdata/boba

  Specifying and executing multiverse analysis

  Language:Python625204

• cxr-eye-gaze/eye-gaze-dataset

  Language:Jupyter Notebook545114

• rfortherestofus/r-without-statistics

  R Without Statistics Book

  Language:HTML38458

• DataONEorg/Education

  The Education modules

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• survival-lumc/ValidationCompRisks

  Code repository for the manuscript 'Validation of the performance of competing risks prediction models: a guide through modern methods' (2023, BMJ)

  Language:R254210

• cran-task-views/Epidemiology

  CRAN Task View: Epidemiology

  Language:R223235

• milkovsky/Linux-on-Lenovo-Slim-7-Carbon-AMD

  Linux on Lenivi Yoga/IdeaPad Slim 7 Carbon (AMD)

  211042

• cboettig/bad-forecast-good-decision

  :notebook: Utility provides a more meaningful measure of forecast skill than goodness-of-fit

  Language:TeX1830

• serghiou/rtransparent

  The rtransparent R package.

  Language:R153310

• benvancalster/classimb_calibration

  Language:R8104

• milos-agathon/Inset-graph-within-map-in-R

  In this tutorial, you'll learn how to re-create this map with an eye on using inset graphs within a map in R

  Language:R8202

• suinleelab/coai

  Cost-Aware AI

  Language:Jupyter Notebook8801

• serghiou/transparency-indicators

  Automated assessment of transparency across the biomedical literature.

  Language:HTML7205

• BartlettJE/bartlettje.github.io

  ✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

  Language:HTML5004

• finncatling/lap-risk

  Uncertainty-aware mortality risk modelling in emergency laparotomy, using data from the NELA.

  Language:Python53980

• serghiou/metareadr

  A package to read meta-data from the web.

  Language:R5200

• UBC-MDS/DSCI_523_r-prog

  5804

• benbergner/emil

  Language:Python4200

• FG-AI4H/annotation-tool

  High-quality annotated data provide the basis for supervised learning. Unfortunately, production is challenging and labor intensive. Certain features must be considered when evaluating an annotation: the quality of labels, the number of expert opinions, and the handling of non-unanimous decisions. AP brings together leading health experts across the globe to produce the highest-quality annotations at maximum efficiency.

  Language:Java43421

• sergiouribe/Introduction-to-Data-Science-RSU

  Course Materials from Introduction to Data Science, Riga Stradins University

  Language:HTML2200

• sergiouribe/2022_Likert_ilze

  Likert analysis

  Language:HTML1200

• sergiouribe/data-visualization-workshop

  Data visualization workshop 2hrs

  Language:HTML120

• sergiouribe/ecc-risk

  ECC Risk indicators

  Language:HTML120

• sergiouribe/preregistration

  preregistration template

  Language:HTML110