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

GPflow Screenshot 1

Project Activity

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Categories

Machine Learning, LLM Inference

License

Apache License V2.0

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GPflow Web Site

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Machine Learning Software, Python LLM Inference Tool

Registered

2024-08-13
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