chrisdissanayake

chrisdissanayake's Stars

• toml-lang/toml

  Tom's Obvious, Minimal Language

  19.5k323519851

• firmai/industry-machine-learning

  A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

  Language:Jupyter Notebook7.2k38621.2k

• edwardtufte/tufte-css

  Style your webpage like Edward Tufte’s handouts.

  Language:HTML5.9k104116458

• hadley/r4ds

  R for data science: a book

  Language:R4.5k2185914.2k

• bnsreenu/python_for_microscopists

  https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

  Language:Jupyter Notebook3.9k108742.4k

• Rdatatable/data.table

  R's data.table package extends data.frame:

  Language:R3.6k1754.4k979

• fluentpython/example-code-2e

  Example code for Fluent Python, 2nd edition (O'Reilly 2022)

  Language:Python3.2k6716911

• rstudio/rmarkdown

  Dynamic Documents for R

  Language:R2.9k1461.8k973

• allisonhorst/stats-illustrations

  R & stats illustrations by @allison_horst

  1.8k10611199

• HenrikBengtsson/future

  :rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone

  Language:R9543854883

• rstudio/rmarkdown-cookbook

  R Markdown Cookbook. A range of tips and tricks to make better use of R Markdown.

  Language:RMarkdown58323311223

• r-lib/conflicted

  An alternative conflict resolution strategy for R

  Language:R24648614

• hugo-apero/hugo-apero

  Apéro is a Hugo theme for personal websites. A Hugo theme you'll want to hang out with :milky_way: . This is the source for the theme files to install.

  Language:SCSS18287757

• betanalpha/knitr_case_studies

  Inference case studies in knitr

  Language:HTML163223094

• luisdamiano/gsoc17-hhmm

  Bayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017.

  Language:HTML11617643

• Llewelyn62/Non-linear-dynamics-Strogatz

  Python scripts connected to Strogatz's nonlinear dynamics and chaos theory text.

  Language:Jupyter Notebook894028

• jamesross2/Bayesian-HMM

  A non-parametric Bayesian approach to Hidden Markov Models

  Language:Python838616

• bydata/30DayChartChallenge

  Contributions to the #30DayChartChallenge

  Language:R625216

• hsbadr/bayesian

  Bindings for Bayesian TidyModels

  Language:R445163

• luisdamiano/BayesHMM

  Full Bayesian Inference for Hidden Markov Models

  Language:R403719

• luisdamiano/stancon18

  A primer on Hidden Markov Models using Stan. A Case Study submitted as a candidate for a contributed talk in StanCon 2018. Under review.

  Language:HTML302113

• padpadpadpad/nls.multstart

  Non-linear regression in R allowing multiple start parameters

  Language:R186114

• pierre-muth/MoonRocket3D

  3D files of a famous comics character moon rocket

  18304

• ContactEngineering/SurfaceTopography

  Read and analyze surface topographies

  Language:Python17416410

• simonpcouch/slc-rug-21

  Source code and slides for my Salt Lake City R User Group talk

  Language:R4101

• quinfer/fml

  An R-package of teaching financial machine learning

  Language:CSS3100

• oscci/McElreath_book

  examples from Rethinking Statistics

  10