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 easy consumption by models.
Resources
- Official Psiz Documentation: psiz.readthedocs.io/en/latest
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
psiz_datasets-0.1.0.tar.gz
(65.6 kB
view hashes)
Built Distribution
Close
Hashes for psiz_datasets-0.1.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8c62cab6f3a79945b389d99d2f9ad7968ae87d79f21cf48272e216ce804e0eb3 |
|
MD5 | d8a9f66c04abaa0e15f2a8d8e74bae72 |
|
BLAKE2b-256 | edaa3cef6afe5015376781c880e2628f87abb7d05535e1b0fba428047ef3eea7 |