A port of the GPflow python package to R. gpflowr implements Gaussian process models using Google's TensorFlow library (via the tensorflow R package). This enables automatic gradient construction via symbolic differentiation, efficient linear algebra, and portability to CPUs, GPUs, and across platforms. Like tensorflow, this package requires installation of python and TensorFlow.
|License||Apache License 2.0|
|Package repository||View on GitHub|
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