adayim

adayim's Stars

• amiremohamadi/DuckX

  C++ library for creating and modifying Microsoft Word (.docx) files

  Language:C++413109

• totravel/minidocx

  Fast and easy to use C++ library that creates or modifies Microsoft Word files without installing Word.

  Language:C++8326

• automeris-io/WebPlotDigitizer

  Computer vision assisted tool to extract numerical data from plot images.

  Language:JavaScript2.6k362

• shellywhen/Journal-Response-Letter-Template-Latex

  A Latex template for journal review response (initially designed for IEEE TVCG)

  Language:TeX7416

• bayesianops/stan-survival-model-workshop

  Building a Survival Model in Stan.

  Language:R569

• cam-ctu/cctu

  cctu

  Language:R32

• avehtari/BDA_course_Aalto

  Bayesian Data Analysis course at Aalto

  Language:TeX2.1k557

• andrewcparnell/bhm_course

  Course notes, worksheets, and timetable for Bayesian Hierarchical Modelling course

  Language:HTML2311

• cderv/meetup-2021-rmd-business-report

  Talk at R Entrprise Meetup about styling Rmd for following organization guidelines

  Language:R2610

• m-clark/Miscellaneous-R-Code

  Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.

  Language:R19381

• coolbutuseless/tickle

  Easily create UIs in base R

  Language:R1232

• wzchen/probability_cheatsheet

  A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

  Language:TeX3k692

• guanyingc/PS-FCN_Poster_LaTex

  LaTex Poster for PS-FCN (ECCV 2018)

  Language:TeX6112

• betanalpha/knitr_case_studies

  Inference case studies in knitr

  Language:HTML16394

• ben18785/distribution-zoo

  App to view distribution properties and access dynamic code in R, Python, Matlab, Mathematica, Julia and Stan

  Language:R8512

• rasmusab/distribution_diagrams

  R-script for generating canonical diagrams of distributions to be used to describe Bayesian hierarchical models.

  Language:HTML40387

• bgautijonsson/covid19

  Language:HTML337

• rmcelreath/stat_rethinking_2022

  Statistical Rethinking course winter 2022

  Language:R4.1k445

• andrewcparnell/jags_examples

  A large set of JAGS examples using R

  Language:R9044

• jeromyanglim/JAGS_by_Example

  A set of JAGS examples implementing Bayesian modelling

  115

• johnmyleswhite/JAGSExamples

  Examples of statistical models implemented using JAGS

  Language:R9939

• stan-dev/example-models

  Example models for Stan

  Language:HTML773479

• vincentarelbundock/rethinking2

  Language:HTML7523

• jkarreth/Bayes

  Code accompanying my ICPSR summer program course on Applied Bayesian Modeling.

  Language:HTML4221

• daniele-falco/software_comparison

  Language:R92

• matheusfacure/python-causality-handbook

  Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

  Language:Jupyter Notebook2.7k469

• drizopoulos/Repeated_Measurements

  Shiny App for Repeated Measurements Course

  Language:HTML8124

• szcf-weiya/ESL-CN

  The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

  Language:Jupyter Notebook2.4k594

• jtleek/reviews

  Writing reviews of academic papers

  467104

• yanglbme/gitee-pages-action

  🤖 Auto Deploy Gitee Pages by GitHub Action | 无须人为干预，由 GitHub Action 自动部署 Gitee Pages

  Language:Python663110