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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
Project Samples
License
Apache License V2.0Follow GPflow
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