rstudio/tensorflow

Health v2 · maintenance only

Adoption not part of the score

1339 stars · 314 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An R package that provides full access to the TensorFlow API from R via reticulate, bridging R users to TensorFlow's Python implementation. It supports building and training deep learning models with Keras, eager execution, and GPU/TPU acceleration.

Use cases

• train deep learning models in R
• use TensorFlow from R without writing Python
• build Keras neural networks in R
• image classification and segmentation in R
• time series forecasting with deep learning in R
• text classification and machine translation in R

When to choose

• you're an R user who wants TensorFlow/Keras capabilities
• your data science workflow is R-based but needs deep learning
• you want automatic Python environment management via reticulate

When to avoid

• you work primarily in Python and can use TensorFlow directly
• you need a pure-R ML implementation without Python dependencies
• you need frameworks other than TensorFlow, like PyTorch

Facets

library · maturity active

machine-learning deep-learning sdk machine-learning deep-learning data-science python cross-platform windows r-package tensorflow-bindings keras reticulate neural-networks linux macos gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="rstudio/tensorflow")