Download
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
Other Useful Business Software
Build Securely on Azure with Proven Frameworks
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of GPflow!
