A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
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R bindings to the libgit2 library
- libgit2
- libgit2-library
- git
- git-client
talk with NCBI entrez using R
Pry open the covers of R
Chemical Information from the Web
- rstats
- ropensci
- chemical-information
- webscraping
Convert many data formats to & from GeoJSON & TopoJSON
GraphQL R client
Avoid the typical working directory pain when using 'knitr'
- rmarkdown
- knitr
- rmd
- reproducibility
Data Access Client for Global Surface Summary of the Day (GSOD) Weather Written in R
- r
- weather-data
- gsod
- ncdc
Renders a Multilingual Quarto Project (Book or Website)
Accesses parasite occurrence records from the London Natural History Museum's Host-Parasite database, which contains over a quarter of a million helminth records.
- helminth
- parasites
- open-data
- disease-networks