Package: ggmlR
Type: Package
Title: 'GGML' Tensor Operations for Machine Learning
Version: 0.5.1
Authors@R: c(
    person("Yuri", "Baramykov",
        email = "lbsbmsu@mail.ru",
        role = c("aut", "cre")),
    person("Georgi", "Gerganov",
        role = c("ctb", "cph"),
        comment = "Author of the GGML library"),
    person("Jeffrey", "Quesnelle",
        role = c("ctb", "cph"),
        comment = "Contributor to ops.cpp"),
    person("Bowen", "Peng",
        role = c("ctb", "cph"),
        comment = "Contributor to ops.cpp"),
    person("Mozilla Foundation",
        role = c("ctb", "cph"),
        comment = "Author of llamafile/sgemm.cpp")
    )
Description: Provides 'R' bindings to the 'GGML' tensor library for efficient
    machine learning computation. Implements core tensor operations including
    element-wise arithmetic, reshaping, and matrix multiplication. Supports
    neural network layers (attention, convolutions, normalization), activation
    functions, and quantization. Features optimization/training API with
    'AdamW' (Adam with Weight decay) and 'SGD' (Stochastic Gradient Descent)
    optimizers, 'MSE' (Mean Squared Error) and cross-entropy losses.
    Multi-backend support with CPU and optional 'Vulkan' GPU (Graphics
    Processing Unit) acceleration.
    See <https://github.com/ggml-org/ggml> for more information about the
    underlying library.
License: MIT + file LICENSE
URL: https://github.com/Zabis13/ggmlR
BugReports: https://github.com/Zabis13/ggmlR/issues
Encoding: UTF-8
SystemRequirements: C++17, GNU make
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.3.3
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2026-02-05 18:46:14 UTC; yuri
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@mail.ru>
Repository: CRAN
Date/Publication: 2026-02-09 19:00:02 UTC
Built: R 4.5.2; x86_64-w64-mingw32; 2026-02-15 02:22:29 UTC; windows
Archs: x64
