mlverse/torch
R Interface to Torch
Provides low-level tensor operations with automatic differentiation (autograd) for building neural networks and scientific computing in R. Wraps LibTorch via C++ bindings, supporting GPU acceleration (CUDA 11.8–12.4) and seamless conversion between R arrays and torch tensors. Enables gradient-based optimization workflows natively within the R ecosystem without external Python dependencies.
563 stars. Actively maintained with 1 commit in the last 30 days.
Stars
563
Forks
89
Language
C++
License
—
Category
Last pushed
Mar 02, 2026
Commits (30d)
1
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