GitHub - GPflow/GPflow: Gaussian processes in TensorFlow

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. The online documentation (latest release)/(develop) contains more details. It was originally created by James Hensman and Alexander G. de G. Matthews.