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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Comprehensive list of color palettes available in R ❤️🧡💛💚💙💜
Machine Learning in R
- machine-learning
- data-science
- tuning
- cran
:round_pushpin: Repel overlapping text labels away from each other in your ggplot2 figures.
- ggplot2
- cran
- visualization
- text
:christmas_tree:Visualization and annotation of phylogenetic trees
- r
- visualization
- phylogenetic-trees
- annotations
R frontend for Spark
Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"
- cognitive-capitalism
- cognitive-science
- economic-models
- ecosystem-modeling
Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome
- cancer-genomics
- cnv-detection
- single-cell
- phylogeny
Conversion of R Regression Output to LaTeX or HTML Tables
- texreg
- html-tables
- latex
- latex-tables
chemmodlab: A Cheminformatics Modeling Laboratory for Fitting and Assessing Machine Learning Models
The repository host gives no description.
Accelerated similarity searching of small molecules (bioconductor package)