Model space-time data with Gaussian processes.
Geostat makes it easy to write Gaussian Process (GP) models with complex covariance functions. It uses maximum likelihood to fit model parameters. Under the hood it uses Tensorflow to fit models and do inference on GPUs. A good consumer GPU such as an Nvidia RTX 4090 can handle 10k data points.
Install Geostat using pip:
pip install geostat
FAQs
Model spatial data with Gaussian processes
We found that geostat demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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