pip install argo-models==2.7.5
Generated openapi models for Argo objects.
SourceAmong top 5% packages on PyPI.
Over 17.2K downloads in the last 90 days.
argo-models
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
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Parametrize and run Jupyter and nteract Notebooks |
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TensorFlow Serving Python API. |
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tfx_bsl (TFX Basic Shared Libraries) contains libraries shared by many TFX (TensorFlow eXtended) libraries and components. |
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KubeFlow Pipelines SDK |
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A library for analyzing TensorFlow models |
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TensorFlow Extended (TFX) is a TensorFlow-based general-purpose machine learning platform implemented at Google |
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A schema and validator for YAML. |
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A library for data preprocessing with TensorFlow |
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A client library for executing notebooks. Formally nbconvert's ExecutePreprocessor. |
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Kubeflow Pipelines API |
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A library for exploring and validating machine learning data. |
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Patch asyncio to allow nested event loops |
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Hypertuner for Keras |
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textwrap, but savvy to ANSI colors and styles |
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KubeFlow Metadata SDK |
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Parsing markdown files for deep learning. |
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Cloud Data Loss Prevention (DLP) API API client library |
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A library for maintaining metadata for artifacts. |
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gRPC extensions for Google Cloud Platform |
argo-modelsProportion of downloaded versions in the last 3 months (only versions over 1%).
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2.2.1a0 |
80.40% |
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2.3.0a0 |
6.40% |
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2.7.5 |
6.34% |
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2.6.3.post0 |
1.79% |