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With Vertex AI NAS, you can search for optimal neural architectures in terms of accuracy, latency, memory, a combination of these, or a custom metric.

cloud.google.com/vertex-ai/docs/training/neural-architecture-search/overview

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Apache-2.0 license
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google/vertex-ai-nas

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7 Commits
gcs_utils
gcs_utils
 
 
nas_architecture
nas_architecture
 
 
nas_lib
nas_lib
 
 
notebooks
notebooks
 
 
proxy_task
proxy_task
 
 
pytorch
pytorch
 
 
tf1
tf1
 
 
tf_vision
tf_vision
 
 
third_party
third_party
 
 
.gitattributes
.gitattributes
 
 
CONTRIBUTING.md
CONTRIBUTING.md
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
RELEASE_HISTORY.md
RELEASE_HISTORY.md
 
 
__init__.py
__init__.py
 
 
cloud_nas_utils.py
cloud_nas_utils.py
 
 
global_variables.py
global_variables.py
 
 
metrics_reporter.py
metrics_reporter.py
 
 
model_metrics_evaluator.py
model_metrics_evaluator.py
 
 
search_spaces.py
search_spaces.py
 
 
tf_utils.py
tf_utils.py
 
 
vertex_client_utils.py
vertex_client_utils.py
 
 
vertex_nas_cli.py
vertex_nas_cli.py
 
 
vertex_nas_cli_parser.py
vertex_nas_cli_parser.py
 
 

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This is the Vertex AI Neural Architecture Search (NAS) code repository. With Vertex AI NAS, you can search for optimal neural architectures in terms of accuracy, latency, memory, a combination of these, or a custom metric.

Getting started

Visit Vertex AI NAS web documentation for list of features and instructions to use and follow the Documentation reading order.

License

This code is released under Apache 2.0 license except for the files under the third_party/tutorial folder which are released under a combined MIT and Apache 2.0 license.

Updates

Check out the RELEASE HISTORY for latest updates.

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With Vertex AI NAS, you can search for optimal neural architectures in terms of accuracy, latency, memory, a combination of these, or a custom metric.

cloud.google.com/vertex-ai/docs/training/neural-architecture-search/overview

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