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david-thrower / cerebros-core-algorithm-alpha

The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategies.
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Add a caption about cerebros enterprise #20

Closed david-thrower closed 1 year ago

david-thrower commented 1 year ago

The Cerebros community edition provides a minimum viable single parameter set search and also provides an example manifest for an exhaustive Neural Architecture Search to run on Kubeflow/Katib. You can easily reproduce this with the Jupyter notebook in the directory /kubeflow, using the Kale Jupyter notebook extension. For a robust managed neural architecture search experience hosted on Google Cloud Platform and supported by our SLA, we recommend Cerebros enterprise, our commercial version. Soon you will be able to sign up and immediately start using it at https://www.cerebros.one. In the meantime, we can set up your own Cerbros managed neural architecture search pipeline for you with a one business day turnaround. We offer consulting, demos, full service machine learning service and can provision you with your own full neural architecture search pipeline complete with automated Bayesian hyperparameter search. Contact David Thrower:david@cerebros.one or call us at (US area code 1) (650) 789-4375.

david-thrower commented 1 year ago

Closed with #24

david-thrower commented 1 year ago

Closed with https://github.com/david-thrower/cerebros-core-algorithm-alpha/issues/24