R-universe search: exports:Image

Showing 9 of total 9 results (show query)

bioc

EBImage:Image processing and analysis toolbox for R

EBImage provides general purpose functionality for image processing and analysis. In the context of (high-throughput) microscopy-based cellular assays, EBImage offers tools to segment cells and extract quantitative cellular descriptors. This allows the automation of such tasks using the R programming language and facilitates the use of other tools in the R environment for signal processing, statistical modeling, machine learning and visualization with image data.

Maintained by Andrzej Oleś. Last updated 5 months ago.

visualization bioinformatics image-analysis image-processing cpp

71 stars 12.77 score 1.5k scripts 33 dependents

appsilon

shiny.fluent:Microsoft Fluent UI for Shiny Apps

A rich set of UI components for building Shiny applications, including inputs, containers, overlays, menus, and various utilities. All components from Fluent UI (the underlying JavaScript library) are available and have usage examples in R.

Maintained by Jakub Sobolewski. Last updated 10 months ago.

microsoft-fluent-ui react rhinoverse shiny

281 stars 9.92 score 656 scripts

eagerai

fastai:Interface to 'fastai'

The 'fastai' <https://docs.fast.ai/index.html> library simplifies training fast and accurate neural networks using modern best practices. It is based on research in to deep learning best practices undertaken at 'fast.ai', including 'out of the box' support for vision, text, tabular, audio, time series, and collaborative filtering models.

Maintained by Turgut Abdullayev. Last updated 12 months ago.

audio collaborative-filtering darknet darknet-image-classification fastai medical object-detection tabular text vision

118 stars 9.40 score 76 scripts

jamovi

jmvcore:Dependencies for the 'jamovi' Framework

A framework for creating rich interactive analyses for the jamovi platform (see <https://www.jamovi.org> for more information).

Maintained by Jonathon Love. Last updated 7 months ago.

4 stars 6.51 score 20 scripts 8 dependents

lgnbhl

xlcharts:Create Native 'Excel' Charts and Work with Microsoft 'Excel' Files

An R interface to the 'OpenPyXL' 'Python' library to create native 'Excel' charts and work with Microsoft 'Excel' files.

Maintained by Felix Luginbuhl. Last updated 28 days ago.

excel

12 stars 4.48 score 4 scripts

cran

IDPmisc:'Utilities of Institute of Data Analyses and Process Design (www.zhaw.ch/idp)'

Different high-level graphics functions for displaying large datasets, displaying circular data in a very flexible way, finding local maxima, brewing color ramps, drawing nice arrows, zooming 2D-plots, creating figures with differently colored margin and plot region. In addition, the package contains auxiliary functions for data manipulation like omitting observations with irregular values or selecting data by logical vectors, which include NAs. Other functions are especially useful in spectroscopy and analyses of environmental data: robust baseline fitting, finding peaks in spectra, converting humidity measures.

Maintained by Christoph Hofer. Last updated 1 years ago.

1 stars 3.64 score 22 dependents

florafauna

gapfill:Fill Missing Values in Satellite Data

Tools to fill missing values in satellite data and to develop new gap-fill algorithms. The methods are tailored to data (images) observed at equally-spaced points in time. The package is illustrated with MODIS NDVI data.

Maintained by Florian Gerber. Last updated 4 years ago.

cpp

2 stars 3.18 score 15 scripts

schweflo

pandocfilters:Pandoc Filters for R

The document converter 'pandoc' <https://pandoc.org/> is widely used in the R community. One feature of 'pandoc' is that it can produce and consume JSON-formatted abstract syntax trees (AST). This allows to transform a given source document into JSON-formatted AST, alter it by so called filters and pass the altered JSON-formatted AST back to 'pandoc'. This package provides functions which allow to write such filters in native R code. Although this package is inspired by the Python package 'pandocfilters' <https://github.com/jgm/pandocfilters/>, it provides additional convenience functions which make it simple to use the 'pandocfilters' package as a report generator. Since 'pandocfilters' inherits most of it's functionality from 'pandoc' it can create documents in many formats (for more information see <https://pandoc.org/>) but is also bound to the same limitations as 'pandoc'.

Maintained by Florian Schwendinger. Last updated 3 years ago.

2.80 score 63 scripts