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.).
Repository Index
47,133 repositories indexed
1–7 of 7 · Most stars
Fast, sensitive and accurate integration of single-cell data with Harmony
A tidy API for graph manipulation
- r
- network-analysis
- igraph
- tidyverse
Interactive Heat Maps for R Using plotly
- heatmap
- dendrogram
- ggplot2
- d3-heatmap
Functions for installing softwares from within R
A D3.js-based heatmap htmlwidget for R
Extending R's Dendrogram Functionality