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GitHub / 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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/david-thrower%2Fcerebros-core-algorithm-alpha

Stars: 27
Forks: 3
Open issues: 74

License: other
Language: Jupyter Notebook
Size: 56.5 MB
Dependencies parsed at: Pending

Created at: over 2 years ago
Updated at: 9 days ago
Pushed at: 6 days ago
Last synced at: 6 days ago

Topics: accuracy, automl, automl-algorithms, automl-api, automl-benchmark, automl-experiments, automl-pipeline, automl-products, deep-learning, gpt, hyperparameter-optimization, keras, keras-tensorflow, llm, machine-learning, mean-square-error, neural-architecture-search, neural-network, python3, tensorflow

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