tonyfujs's Stars
keyvanakbary/learning-notes
Notes on books I read, talks I watch, articles I study, and papers I love
hadley/r-internals
Documentation for R's internal C API
moodymudskipper/shinycheck
Check shiny Code
thomasp85/ggplot2_workshop
Material for "Drawing Anything with ggplot2" workshop
statnmap/prez
My presentations
MilesMcBain/drake_make
makefile as drake plan
tidymodels/TMwR
Code and content for "Tidy Modeling with R"
gadenbuie/shrtcts
Make Anything an RStudio Shortcut
byrondover/api-guidelines
RESTful HTTP API guidelines and best practices.
trangdata/treeheatr
Heatmap-integrated Decision Tree Visualizations
statnmap/user2020_rspatial_tutorial
Course material for useR! 2020 Rspatial tutorial by S. Rochette, D. Scott, J. Nowosad
allisonhorst/stats-illustrations
R & stats illustrations by @allison_horst
brendanhcullen/rstudio-instructor-certification
My materials for the RStudio Instructor Certification Teaching Exam.
ritchieng/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
sol-eng/plumber-model
Plumber ML Model deployment example
rexyai/RestRserve
R web API framework for building high-performance microservices and app backends
sol-eng/plumbpkg
Example R package that includes Plumber APIs
blairj09-talks/ppp
Practical Plumber Patterns: An opinionated approach to writing APIs in R with Plumber
mirkosignorelli/erum2020
A heterogeneous list of resources related to e-Rum2020
trevmon28/COVID_sko_datascience
Collection of Covid Links for tools, analysis, data
rstudio-conf-2020/dataviz
Course materials for Kieran Healy's rstudio::conf 2020 data visualization workshop
microsoft/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
nstrayer/cv
My CV built using RMarkdown and the pagedown package.
tslumley/svy-DC
Slides and data for R-Ladies DC talk, 2020-6-2
EmilHvitfeldt/RStudioConf2020Slides
Links to slides for rstudio::conf 2020
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
noamross/nyhackr-docker-talk
Slides, Code, and Links to Resources from "Docker for the User," delivered at nyhackr 2018-07-11
rasbt/python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
pridiltal/ctv-AnomalyDetection
CRAN Task View: Anomaly Detection with R 🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛍️🛒🛒
FiscalNote/BillSum
US Bill Summarization Corpus