Tools for managing and using PsiZ Datasets.
Project description
PsiZ Datasets
WARNING: This package is pre-release and the API is not stable. All APIs are subject to change and all releases are alpha.
Purpose
Provide pre-formatted TensorFlow Datasets for hassle-free model ingestion.
Resources
- Official Psiz Documentation: psiz.readthedocs.io/en/latest
- Raw JSON-formatted data files used to create TensorFlow Datasets: osf.io psiz-datasets
Installation
There are two different ways to install: PyPI or git.
Using PyPI
$ pip install psiz-datasets
Using git
# Clone the repository from GitHub to your local machine.
$ git clone https://github.com/psiz-org/psiz-datasets.git
# Use `pip` to install the cloned repository.
$ pip install /local/path/to/psiz-datasets
Contribution Guidelines
If you would like to contribute please see the contributing guidelines.
This project uses a Code of Conduct adapted from the Contributor Covenant version 2.0, available at https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
Licence
This project is licensed under the Apache Licence 2.0 - see LICENSE file for details.
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