ggmlR

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / ggmlR

ggmlR

v0.8.2
Repository CRANLicense MIT + file LICENSELifecycle activeNeeds compilation yes
Package pageReferenceSourceDOIREADMENEWS
DOI
10.32614/CRAN.package.ggmlR
Reverse imports
93
Reverse depends
103

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

2
Reverse imports
93
Reverse depends
103

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
0.8.2
License
MIT + file LICENSE
Lifecycle
active
Needs compilation
yes
Reverse depends
103
Reverse imports
93
Last observed
2026-07-23
CRAN
cran.r-project.org/package=ggmlR

수집 소스별 패키지 정보

1개 소스
CRAN
0.8.2
2026-07-23
License
MIT + file LICENSE
Depends
R (>= 4.1.0)
Imports
generics, R6, methods, stats
Suggests
testthat (>= 3.0.0), mlr3 (>= 0.21.0), paradox, digest, parsnip, tibble, rlang, dials, lgr, knitr, rmarkdown, Matrix, Seurat, SeuratObject, RSpectra, irlba, uwot, FNN, SingleCellExperiment, SummarizedExperiment, S4Vectors, withr, hardhat, rsample, tune, workflows
Needs compilation
yes
Reverse depends
103
Reverse imports
93
Lifecycle
active
Last observed
2026-07-23 02:03:34

이 패키지가 의존하는 패키지

5개 표시전체 30개
PackageTypeSpec
generics
CRAN · 0.8.2 · 2026-07-24
Importsgenerics
methods
CRAN · 0.8.2 · 2026-07-24
Importsmethods
R6
CRAN · 0.8.2 · 2026-07-24
ImportsR6
stats
CRAN · 0.8.2 · 2026-07-24
Importsstats
dials
CRAN · 0.8.2 · 2026-07-24
Suggestsdials
1 / 6

이 패키지를 쓰는 패키지

5개 표시전체 5개
PackageTypeSpec
llamaR
0.2.5
CRAN · 2026-07-24
DependsggmlR
sd2R
0.2.1
CRAN · 2026-07-24
ImportsggmlR (>= 0.5.0)
llamaR
0.2.5
CRAN · 2026-07-24
LinkingToggmlR
sd2R
0.2.1
CRAN · 2026-07-24
LinkingToggmlR
cayleyR
0.2.1
CRAN · 2026-07-24
SuggestsggmlR
1 / 1

Reverse dependency summary

4 types
TypePackages
Depends1
Imports1
LinkingTo2
Suggests1

패키지 페이지

Reverse depends
2
Reverse imports
3
Reverse suggests
2
All links
63
Repository
CRAN
Version
0.7.6
Collected
2026-05-25 06:18:05
Package page
https://cran.r-project.org/web/packages/ggmlR/index.html
DOI
10.32614/CRAN.package.ggmlR
CRAN checks
https://cran.r-project.org/web/checks/check_results_ggmlR.html
README
https://cran.r-project.org/web/packages/ggmlR/readme/README.html
NEWS
https://cran.r-project.org/web/packages/ggmlR/news/news.html
Reference HTML
https://cran.r-project.org/web/packages/ggmlR/refman/ggmlR.html
Reference PDF
https://cran.r-project.org/web/packages/ggmlR/ggmlR.pdf
Source package
https://cran.r-project.org/src/contrib/ggmlR_0.7.6.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/ggmlR
Page fields
Author
Yuri Baramykov [aut, cre], Georgi Gerganov [ctb, cph] (Author of the GGML library), Jeffrey Quesnelle [ctb, cph] (Contributor to ops.cpp), Bowen Peng [ctb, cph] (Contributor to ops.cpp), Mozilla Foundation [ctb, cph] (Author of llamafile/sgemm.cpp)
BugReports
https://github.com/Zabis13/ggmlR/issues
CRAN Checks
ggmlR results
DOI
10.32614/CRAN.package.ggmlR
License
MIT + file LICENSE
Maintainer
Yuri Baramykov <lbsbmsu at mail.ru>
Materials
README , NEWS
NeedsCompilation
yes
Old Sources
ggmlR archive
Package Source
ggmlR_0.7.6.tar.gz
Published
2026-04-22
Reference Manual
ggmlR.html , ggmlR.pdf
Reverse Depends
llamaR
Reverse Imports
sd2R
Reverse Linking To
llamaR , sd2R
Reverse Suggests
cayleyR
SystemRequirements
C++17, GNU make, libvulkan-dev, glslc (optional, for GPU on Linux), 'Vulkan' 'SDK' (optional, for GPU on Windows)
URL
https://github.com/Zabis13/ggmlR
Version
0.7.6
Vignettes
Autograd Engine ( source , R code ) Data-Parallel Training ( source , R code ) Using ggmlR as a Backend in Your Package ( source , R code ) GPU / Vulkan Backend ( source , R code ) Keras-like API in ggmlR ( source , R code ) mlr3 Integration ( source , R code ) ONNX Model Import ( source , R code ) Quantization ( source , R code ) tidymodels / parsnip Integration ( source , R code )
Windows Binaries
r-devel: ggmlR_0.7.6.zip , r-release: ggmlR_0.7.6.zip , r-oldrel: ggmlR_0.7.6.zip
MacOS Binaries
r-release (arm64): ggmlR_0.7.6.tgz , r-oldrel (arm64): ggmlR_0.7.6.tgz , r-release (x86_64): ggmlR_0.7.6.tgz , r-oldrel (x86_64): ggmlR_0.7.6.tgz
Version
0.7.6
Published
2026-04-22
DOI
10.32614/CRAN.package.ggmlR
10.32614/CRAN.package.ggmlR
Author
Yuri Baramykov [aut, cre], Georgi Gerganov [ctb, cph] (Author of the GGML library), Jeffrey Quesnelle [ctb, cph] (Contributor to ops.cpp), Bowen Peng [ctb, cph] (Contributor to ops.cpp), Mozilla Foundation [ctb, cph] (Author of llamafile/sgemm.cpp)
Maintainer
Yuri Baramykov <lbsbmsu at mail.ru>
BugReports
https://github.com/Zabis13/ggmlR/issues
https://github.com/Zabis13/ggmlR/issues
License
MIT + file LICENSE
MITLICENSE
URL
https://github.com/Zabis13/ggmlR
https://github.com/Zabis13/ggmlR
NeedsCompilation
yes
SystemRequirements
C++17, GNU make, libvulkan-dev, glslc (optional, for GPU on Linux), 'Vulkan' 'SDK' (optional, for GPU on Windows)
Materials
README , NEWS
READMENEWS
CRAN Checks
ggmlR results
ggmlR results
Reference Manual
ggmlR.html , ggmlR.pdf
ggmlR.htmlggmlR.pdf
Vignettes
Autograd Engine ( source , R code ) Data-Parallel Training ( source , R code ) Using ggmlR as a Backend in Your Package ( source , R code ) GPU / Vulkan Backend ( source , R code ) Keras-like API in ggmlR ( source , R code ) mlr3 Integration ( source , R code ) ONNX Model Import ( source , R code ) Quantization ( source , R code ) tidymodels / parsnip Integration ( source , R code )
Autograd EnginesourceR codeData-Parallel TrainingsourceR codeUsing ggmlR as a Backend in Your PackagesourceR codeGPU / Vulkan BackendsourceR codeKeras-like API in ggmlRsourceR codemlr3 IntegrationsourceR codeONNX Model Importsource
Package Source
ggmlR_0.7.6.tar.gz
ggmlR_0.7.6.tar.gz
Windows Binaries
r-devel: ggmlR_0.7.6.zip , r-release: ggmlR_0.7.6.zip , r-oldrel: ggmlR_0.7.6.zip
ggmlR_0.7.6.zipggmlR_0.7.6.zipggmlR_0.7.6.zip
MacOS Binaries
r-release (arm64): ggmlR_0.7.6.tgz , r-oldrel (arm64): ggmlR_0.7.6.tgz , r-release (x86_64): ggmlR_0.7.6.tgz , r-oldrel (x86_64): ggmlR_0.7.6.tgz
ggmlR_0.7.6.tgzggmlR_0.7.6.tgzggmlR_0.7.6.tgzggmlR_0.7.6.tgz
Old Sources
ggmlR archive
ggmlR archive
Reverse Depends
llamaR
llamaR
Reverse Imports
sd2R
sd2R
Reverse Linking To
llamaR , sd2R
llamaRsd2R
Reverse Suggests
cayleyR
cayleyR
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"ggmlR.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/refman/ggmlR.html"},{"label":"ggmlR.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/ggmlR.pdf"},{"label":"Autograd Engine","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/autograd-engine.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/autograd-engine.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/autograd-engine.R"},{"label":"Data-Parallel Training","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/data-parallel-training.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/data-parallel-training.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/data-parallel-training.R"},{"label":"Using ggmlR as a Backend in Your Package","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/embedding-ggmlR.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/embedding-ggmlR.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/embedding-ggmlR.R"},{"label":"GPU / Vulkan Backend","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/gpu-vulkan.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/gpu-vulkan.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/gpu-vulkan.R"},{"label":"Keras-like API in ggmlR","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/keras-like-api.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/keras-like-api.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/keras-like-api.R"},{"label":"mlr3 Integration","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/mlr3-integration.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/mlr3-integration.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/mlr3-integration.R"}]
Text
Reference manual: ggmlR.html , ggmlR.pdf Vignettes: Autograd Engine ( source , R code ) Data-Parallel Training ( source , R code ) Using ggmlR as a Backend in Your Package ( source , R code ) GPU / Vulkan Backend ( source , R code ) Keras-like API in ggmlR ( source , R code ) mlr3 Integration ( source , R code ) ONNX Model Import ( source , R code ) Quantization ( source , R code ) tidymodels / parsnip Integration ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"ggmlR_0.7.6.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/ggmlR_0.7.6.tar.gz"},{"label":"ggmlR_0.7.6.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/ggmlR_0.7.6.zip"},{"label":"ggmlR_0.7.6.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/ggmlR_0.7.6.zip"},{"label":"ggmlR_0.7.6.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/ggmlR_0.7.6.zip"},{"label":"ggmlR_0.7.6.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/ggmlR_0.7.6.tgz"},{"label":"ggmlR_0.7.6.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/ggmlR_0.7.6.tgz"},{"label":"ggmlR_0.7.6.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/ggmlR_0.7.6.tgz"},{"label":"ggmlR_0.7.6.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/ggmlR_0.7.6.tgz"},{"label":"ggmlR archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/ggmlR"}]
Text
Package source: ggmlR_0.7.6.tar.gz Windows binaries: r-devel: ggmlR_0.7.6.zip , r-release: ggmlR_0.7.6.zip , r-oldrel: ggmlR_0.7.6.zip macOS binaries: r-release (arm64): ggmlR_0.7.6.tgz , r-oldrel (arm64): ggmlR_0.7.6.tgz , r-release (x86_64): ggmlR_0.7.6.tgz , r-oldrel (x86_64): ggmlR_0.7.6.tgz Old sources: ggmlR archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"llamaR","section":"","type":"","url":"https://cran.r-project.org/web/packages/llamaR/index.html"},{"label":"sd2R","section":"","type":"","url":"https://cran.r-project.org/web/packages/sd2R/index.html"},{"label":"llamaR","section":"","type":"","url":"https://cran.r-project.org/web/packages/llamaR/index.html"},{"label":"sd2R","section":"","type":"","url":"https://cran.r-project.org/web/packages/sd2R/index.html"},{"label":"cayleyR","section":"","type":"","url":"https://cran.r-project.org/web/packages/cayleyR/index.html"}]
Text
Reverse depends: llamaR Reverse imports: sd2R Reverse linking to: llamaR , sd2R Reverse suggests: cayleyR
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=ggmlR","section":"","type":"","url":"https://CRAN.R-project.org/package=ggmlR"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=ggmlR to link to this page.
Materials 2
READMENEWS
Documentation 29
ggmlR.htmlggmlR.pdfAutograd EnginesourceR codeData-Parallel TrainingsourceR codeUsing ggmlR as a Backend in Your PackagesourceR codeGPU / Vulkan BackendsourceR codeKeras-like API in ggmlRsourceR codemlr3 IntegrationsourceR codeONNX Model ImportsourceR codeQuantizationsourceR codetidymodels / parsnip IntegrationsourceR code
Vignettes 27
Autograd EnginesourceR codeData-Parallel TrainingsourceR codeUsing ggmlR as a Backend in Your PackagesourceR codeGPU / Vulkan BackendsourceR codeKeras-like API in ggmlRsourceR codemlr3 IntegrationsourceR codeONNX Model ImportsourceR codeQuantizationsourceR codetidymodels / parsnip IntegrationsourceR code
Downloads 9
ggmlR_0.7.6.tar.gzggmlR_0.7.6.zipggmlR_0.7.6.zipggmlR_0.7.6.zipggmlR_0.7.6.tgzggmlR_0.7.6.tgzggmlR_0.7.6.tgzggmlR_0.7.6.tgzggmlR archive
All page links 63
genericsR6testthatmlr3paradoxdigestparsniptibblerlangdialslgrknitrrmarkdown10.32614/CRAN.package.ggmlRhttps://github.com/Zabis13/ggmlR/issuesMITLICENSEhttps://github.com/Zabis13/ggmlRREADMENEWSggmlR resultsggmlR.htmlggmlR.pdfAutograd EnginesourceR codeData-Parallel TrainingsourceR codeUsing ggmlR as a Backend in Your PackagesourceR codeGPU / Vulkan BackendsourceR codeKeras-like API in ggmlRsourceR codemlr3 IntegrationsourceR codeONNX Model ImportsourceggmlR_0.7.6.tar.gzggmlR_0.7.6.zipggmlR_0.7.6.zipggmlR_0.7.6.zipggmlR_0.7.6.tgzggmlR_0.7.6.tgzggmlR_0.7.6.tgzggmlR_0.7.6.tgzggmlR archivellamaRsd2RcayleyRR codeQuantizationsourceR codetidymodels / parsnip IntegrationsourceR codehttps://CRAN.R-project.org/package=ggmlR

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN0.7.62026-04-222026-05-252026-05-31
CRAN0.7.52026-04-202026-05-312026-05-31
CRAN0.7.22026-04-152026-05-312026-05-31
CRAN0.7.02026-04-062026-05-312026-05-31
CRAN0.6.72026-03-292026-05-312026-05-31
CRAN0.6.32026-03-182026-05-312026-05-31
CRAN0.6.12026-02-232026-05-312026-05-31
CRAN0.5.12026-02-092026-05-312026-05-31
CRAN0.8.22026-07-232026-07-23
CRAN0.8.12026-07-152026-07-15
CRAN0.7.82026-07-092026-07-10
CRAN0.7.72026-05-312026-06-04

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