/pkg/t/tensorflow-metadata/tensorflow-metadata-banner.webp

tensorflow-metadata 1.16.1

Library and standards for schema and statistics.

08-08-2021 129 words One minute 0 views

Contents

TensorFlow Metadata provides standard representations for metadata that are useful when training machine learning models with TensorFlow.

106 Stars :star:

Stars: 106, Watchers: 106, Forks: 49, Open Issues: 9

The tensorflow/metadata repo was created 7 years ago and the last code push was 2 days ago.
The project is popular with 106 github stars!

How to Install tensorflow-metadata

You can install tensorflow-metadata using pip

pip install tensorflow-metadata

or add it to a project with poetry

poetry add tensorflow-metadata

Package Details

Author: Google Inc.
License: Apache 2.0
Homepage: None
PyPi:: https://pypi.org/project/tensorflow-metadata/
GitHub Repo:: https://github.com/tensorflow/metadata

Classifiers

Scientific/Engineering/Artificial Intelligence
Scientific/Engineering/Mathematics
Software Development
Software Development/Libraries
Software Development/Libraries/Python Modules

No tensorflow-metadata pypi packages just yet.

Errors

A list of common tensorflow-metadata errors.

Code Examples

Here are some tensorflow-metadata code examples and snippets.

Related Packages & Articles

thinc 9.1.1

A refreshing functional take on deep learning, compatible with your favorite libraries

/pkg/t/tensorflow/tensorflow-banner.webp

tensorflow 2.17.0

TensorFlow is an open source machine learning framework for everyone.

nlp 0.4.0

HuggingFace/NLP is an open library of NLP datasets.

Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow. The core data structures of Keras are layers and models. The philosophy is to keep simple things simple, while allowing the user to be fully in control when they need to (the ultimate control being the easy extensibility of the source code via subclassing).