This is the Linux app named GPflow whose latest release can be downloaded as Release2.11.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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GPflow
DESCRIPTION
GPflow is a package for building Gaussian process models in Python. It implements modern Gaussian process inference for composable kernels and likelihoods. GPflow builds on TensorFlow 2.4+ and TensorFlow Probability for running computations, which allows fast execution on GPUs.
Features
- GPflow heavily depends on TensorFlow
- Documentation available
- GPflow builds on TensorFlow 2.4+ and TensorFlow Probability for running computations
- Examples available
- Package for building Gaussian process models in Python
- It implements modern Gaussian process inference for composable kernels and likelihoods
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/gpflow.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
