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tomasfryda
h2o:R Interface for the 'H2O' Scalable Machine Learning Platform
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 (GLM), Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Generalized Additive Models (GAM), ANOVA GLM, Cox Proportional Hazards, K-Means, PCA, ModelSelection, Word2Vec, as well as a fully automatic machine learning algorithm (H2O AutoML).
Maintained by Tomas Fryda. Last updated 1 years ago.
2.3 match 3 stars 8.20 score 7.8k scripts 11 dependentsmrchypark
churon:What the Package Does (One Line, Title Case)
What the package does (one paragraph).
Maintained by First Last. Last updated 2 years ago.
deeplearninginferenceonnxruntimerustcargo
10.0 match 1.70 scorecloudyr
googleComputeEngineR:R Interface with Google Compute Engine
Interact with the 'Google Compute Engine' API in R. Lets you create, start and stop instances in the 'Google Cloud'. Support for preconfigured instances, with templates for common R needs.
Maintained by Mark Edmondson. Last updated 16 days ago.
apicloud-computingcloudyrgoogle-cloudgoogleauthrlaunching-virtual-machines
1.2 match 152 stars 9.73 score 235 scripts