mlverse/torch
R Interface to Torch
This project provides an interface to the Torch machine learning framework, allowing R users to build and train neural networks and perform other deep learning tasks. It takes R data structures as input, like arrays and matrices, and outputs processed tensors or back to R data structures, enabling advanced computations within the R environment. Data scientists, statisticians, and researchers who primarily work in R will find this useful for incorporating deep learning methods into their analyses.
563 stars. Actively maintained with 18 commits in the last 30 days.
Use this if you are an R user who needs to integrate powerful deep learning capabilities and numerical computation, like automatic differentiation, directly into your R workflows without switching programming languages.
Not ideal if you are not an R user, or if your primary focus is on deploying production-grade machine learning models where a native Python or C++ Torch implementation might be more suitable.
Stars
563
Forks
89
Language
C++
License
—
Category
Last pushed
Mar 02, 2026
Commits (30d)
18
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