{"library":"gpflow","type":"library","category":null,"description":"GPflow is a Gaussian process library in TensorFlow, designed for GP regression and advanced GP models. It provides a flexible, composable framework for building and training GP models using TensorFlow's automatic differentiation. Current version 2.10.0 targets TensorFlow 2.x and has a moderate release cadence (major/minor roughly every few months).","language":"python","status":"active","version":"2.10.0","tags":["gaussian-processes","tensorflow","bayesian-machine-learning","probabilistic-programming"],"last_verified":"Sat May 09","install":[{"cmd":"pip install gpflow","imports":["from gpflow import kernels","from gpflow.models import GPR","from gpflow.models import SVGP"]}],"homepage":"https://www.gpflow.org","github":"https://github.com/GPflow/GPflow","docs":"https://gpflow.github.io/GPflow/","changelog":null,"pypi":"https://pypi.org/project/gpflow/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}