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GitHub / JBris / prefect-surrogate-models

Demonstrating the use of Prefect to orchestrate the creation of machine learning surrogate models as applied to mechanistic crop models.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JBris%2Fprefect-surrogate-models

Stars: 2
Forks: 1
Open Issues: 5

License: mit
Language: HTML
Repo Size: 7.11 MB
Dependencies: 266

Created: 8 months ago
Updated: 2 months ago
Last pushed: about 2 months ago
Last synced: about 2 months ago

Commit Stats

Commits: 17
Authors: 2
Mean commits per author: 8.5
Development Distribution Score: 0.235
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/JBris/prefect-surrogate-models

Topics: bayesian-optimization, botorch, dask, docker, docker-compose, dvc, gpytorch, mechanistic-models, minio, mlflow, mlflow-tracking-server, mlops, pcse, prefect, prefect-agent, process-modeling, surrogate-based-optimization, surrogate-models, variational-bayes, variational-inference

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    Dependencies