mlr3torch - Deep Learning with 'mlr3'
Deep Learning library that extends the mlr3 framework by building upon the 'torch' package. It allows to conveniently build, train, and evaluate deep learning models without having to worry about low level details. Custom architectures can be created using the graph language defined in 'mlr3pipelines'.
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data-sciencedeep-learningmachine-learningmlr3torch
8.38 score 56 stars 2 dependents 112 scripts 3.1k downloads
anvl - Accelerated Array Computing and Automatic Differentiation
Accelerated array computing and code transformations for R. Numerical programs operating on arrays can be just-in-time compiled to optimized executables via 'XLA' -- the same compiler that powers 'JAX' and 'TensorFlow' -- and run on CPU or NVIDIA GPU from the same source. Also provides reverse-mode automatic differentiation, returning the gradient of a function as another R function.
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array-computingautodiffgpu-accelerationxla
7.21 score 74 stars 1 dependents 51 scriptsmlr3oml - Connector Between 'mlr3' and 'OpenML'
Provides an interface to 'OpenML.org' to list and download machine learning data, tasks and experiments. The 'OpenML' objects can be automatically converted to 'mlr3' objects. For a more sophisticated interface with more upload options, see the 'OpenML' package.
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datadata-sciencedatasetsmachine-learningmlr3openmlcpp
5.64 score 9 stars 139 scripts 1.4k downloadspjrt - R Interface to PJRT
Provides an R interface to PJRT (Pluggable Jit RunTime), which compiles StableHLO and HLO programs with the XLA compiler and runs them on hardware backends such as CPU and GPU.
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deep-learninggpuxlaprotobufopenblascpp
5.46 score 8 stars 2 dependents 15 scripts
mlr3benchmark - Analysis and Visualisation of Benchmark Experiments
Implements methods for post-hoc analysis and visualisation of benchmark experiments, for 'mlr3' and beyond.
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analysisbenchmark-analysisbenchmark-experimentsbenchmarkingmlr3
5.44 score 13 stars 53 scripts 1.6k downloadsstablehlo - Write 'StableHLO' Programs
A low-level interface for building 'StableHLO' programs from R. 'StableHLO' is an operation set and portable intermediate representation for machine learning computations, developed within the 'OpenXLA' project and consumed by compilers such as 'XLA' <https://openxla.org/stablehlo>. The package implements the operations of the 'StableHLO' specification together with their type inference rules, so that output types are derived automatically and invalid programs are rejected with informative errors at construction time. The resulting programs can be compiled and executed on hardware backends such as CPU and GPU using the 'pjrt' package.
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deep-learninggpustablehloxla
5.41 score 8 stars 2 dependents 13 scripts
mlr3inferr - Inference on the Generalization Error
Confidence interval and resampling methods for inference on the generalization error.
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machine-learningstatistics
5.17 score 5 stars 2 dependents 6 scripts 3.3k downloadsxlamisc - Helper Functions for 'r-xla'
Frequently used generics and helper functions used in 'anvl' and its companion packages 'stablehlo' and 'pjrt'. Comes with S3 generics to query tensors (shape, data type, device) and to convert them to R arrays and raw vectors, as well as an enum-style class for tensor element types.
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3.83 score 3 dependents 1 scriptstengen - Tensor Generics
Generic functions and common objects for working with tensors.
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3.65 score 3 stars 1 dependents 1 scriptsxlamisc - Helper Functions for 'r-xla'
Frequently used generics and helper functions used in 'anvl' and its companion packages 'stablehlo' and 'pjrt'. Comes with S3 generics to query arrays (shape, data type, device) and to convert them to R arrays and raw vectors, as well as a class for data types.
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2.78 score 4 dependents 1 scripts