Metadata-Version: 2.1
Name: utilsd
Version: 0.0.13
Summary: Common utils for deep learning.
Home-page: https://github.com/ultmaster/utilsd
Author: Yuge Zhang
Author-email: scottyugochang@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: full
Provides-Extra: docs

# Common utils for deep learning

[![build](https://github.com/ultmaster/utilsd/actions/workflows/python-test.yml/badge.svg)](https://github.com/ultmaster/utilsd/actions/workflows/python-test.yml) [![codecov](https://codecov.io/gh/ultmaster/utilsd/branch/master/graph/badge.svg?token=CKMH54LMRM)](https://codecov.io/gh/ultmaster/utilsd) [![Documentation Status](https://readthedocs.org/projects/utilsd/badge/?version=latest)](https://utilsd.readthedocs.io/en/latest/?badge=latest)

Documentation: https://utilsd.readthedocs.io/en/stable/

```
pip install utilsd
```

### What is utilsd?

I'm collecting *common utils* that are used in at least 2 of the projects I have been working on. I expect most of the utils are in the corner of logging, experiment setup, config management, log analysis, and etc. As I almost always use PyTorch and most of the projects are featuring vision tasks, it will be built upon PyTorch.

### Why it is named utilsd?

To join the D-universe that is powered by several ambitious system researchers.

### Is it a stable toolkit I can use?

Not really. It is still a draft and being tested against multiple internal projects. I will try to write documentation for this project within a couple of months (or give up on it forever).


