1 packages on CRAN
2 packages on Bioconductor
R interface for 'H2O', the scalable open source machine learning platform that offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models, Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Cox Proportional Hazards, K-Means, PCA, Word2Vec, as well as a fully automatic machine learning algorithm (AutoML).
Bioconductor extensions for R code analysis tools.
Memory efficient S4 classes for storing sequences "externally" (behind an R external pointer, or on disk).