Top R Frameworks & Libraries for high performance

An R-focused pipeline toolkit for reproducibility and high-performance computing

Advanced High Performance Data Science Toolbox for R by Laurae

R web API framework for building high-performance microservices and app backends

High Performance Text Processing in R

High-performance container datatypes for R

High Performance Colourspace Manipulation in R

CRAN Task View: High-Performance Computing with R

Code examples from the book R High Performance Programming by Aloysius Lim and William Tjhi (2015, Packt Publishing)...

course materials for UC Davis STA141C: Big Data & High Performance Statistical Computing

High performance implementation of the Naive Bayes algorithm in R

Implement Deep Learning Package of R with GPU for high performance

A high-performance database of shipment-level CITES trade data

The approach of ensemble spatiotemporal mixed models is to make reliable estimation of air pollutant concentrations at high resolutions. (1) Extraction of covar...

High-performance Hadoop Map/Reduce R interface based on iotools

Please refer to attached full report. Introduction ESG is abbreviate of the environment, social responsibility, and corporate governance. When value a company, f...

Supplementary materials and code for the BMC Bioinformatics journal article "Machine learning with the TCGA-HNSC dataset: Improving performance by addressing incon...

Instructions and benchmarks for high-performance computing in R

High-Performance Computing Extensions for EpiModel

High performance similarity and distance metrics for sparse representations

A workshop: using High Performance Computing at the University of Canterbury

High performance in-memory cluster computing using R over Hadoop

:ocean: 16S rRNA microbiome data analysis workflow using DADA2 and R on a high performance cluster using SLURM...

Inspired by Hillebrand & Medeiros (2009) and Corsi (2009), I put neural networks in a High frequency environment, and tested the performance of the two models (HAR...

Approximate Bayesian Computation for EpiModel on High-Performance Computing Clusters

High Performance Computing example scripts using SLURM and PBS schedulers

High performance time series forecasting course using timetk and modeltime

:exclamation: This is a read-only mirror of the CRAN R package repository. hpcwld — High Performance Cluster Models Based on Kiefer-Wolfowitz Recursion. Homepage:...

● Designed and developed a predictive model for store’s income and compared it with the actual income of the store and based on the difference decide the low or hi...

:exclamation: This is a read-only mirror of the CRAN R package repository. naivebayes — High Performance Implementation of the Naive Bayes Algorithm. Homepage: ht...

Corn is one of the world’s most important crops. Each year corn breeders create new products known as experimental hybrids by finding the best combination of genes...

High-performance functions for the triangular distribution

An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R...

This project uses historical suicide data published on Kaggle to predict future suicide rates, in order to assess and improve the quality of predicting suicide rat...

Biologists who study vision are fascinated by the retina, the rear surface of the eye which collects light and transmits an 'image' to the brain. Through evolution...

Emotion or sentiment is a strong feeling derived from one's circumstances, mood, or relationships with others. It plays an important role in the interaction betwee...

This is an example of a visualisation that can be used by high-performance units in professional team sports to monitor the external training load daily and weekly...

High-Performance Computing Extensions for EpiModel