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.
Language: python
Author: Teresa Lucas (@teresa.lucas)
11 stars · 353 views
Files
- CODE_OF_CONDUCT.md (markdown)
- cifar-10-efficientnetv2s.py (python)
- phishing_email_detection_gpt2.py (python)
- simple_cerebros_random_search.md (markdown)
- llm_utils.py (python)
- SECURITY.md (markdown)
- cifar10-example.py (python)
- regression-example-ames-no-preproc.py (python)
- winemulticlassmultiinput.yaml (yaml)
- cerebros-technical-details.md (markdown)
- cerebros ()
- denseautomlstructuralcomponent ()
- levels ()
- neuralnetworkfuture ()
- nnfuturecomponent ()
- simplecerebrosrandomsearch ()
- units ()
- cerebrosllmutils ()
- cmdutil ()
- documentation ()
- api-docs ()
- simplecerebrosrandomsearch ()
- examples ()
- experimental ()
- cifar10 ()
- text-classification ()
- jupyter-kubeflow-and-more-examples ()
- kubeflow-pipeline ()
- old ()
- amesnopreprcoessing0002a-vnrny.katib.yaml (yaml)
- realnn-regression-example-ames-no-preproc.py (python)
- text-class-ham-or-spam.py (python)
- train_a_generative_llm.py (python)
- units.py (python)
- random_search.py (python)
- license.md (markdown)
- levels.py (python)
- neural_network_future_component.py (python)
- CONTRIBUTING.md (markdown)
- text-classification-100-percent-accuracy.yaml (yaml)
- README.md (markdown)
- summary-and-navigation.md (markdown)
- cerebros-no-embedding-image-example.py (python)
- cmdutil.py (python)
- ATTRIBUTION.md (markdown)
- use-example-detailed.md (markdown)
- regression-example-ames-no-preproc-val-set.py (python)
- simple_cerebros_random_search.py (python)
- neural_network_future.py (python)
- README.md (markdown)
- dense_automl_structural_component.py (python)