Project description

Mash - A Moonshine Utility Library

Absl for computer vision *

What is Mash

Mash is a straightforward utility library for common tasks in computer vision and deep model training. The library was broken out of previous Moonshine projects like Moonshine and Zeroshot.

What can Mash Do?

TODO

Project details

These details have not been verified by PyPI

Project links

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

0.1.6

Apr 17, 2024

0.1.5

Mar 10, 2024

This version

0.1.4

Feb 19, 2024

0.1.3

Nov 5, 2023

0.1.2

Nov 5, 2023

0.1.1

Oct 30, 2023

0.1.0

Oct 24, 2023

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mashlib-0.1.4.tar.gz (12.0 kB view hashes)

Uploaded Feb 19, 2024 Source

Built Distribution

mashlib-0.1.4-py3-none-any.whl (17.9 kB view hashes)

Uploaded Feb 19, 2024 Python 3

Hashes for mashlib-0.1.4.tar.gz

Hashes for mashlib-0.1.4.tar.gz
Algorithm	Hash digest
SHA256	`85d38696bf72904fa7bd865827dd231b001338123f4fe80b1c5a952da95ad7f1`
MD5	`53f7ce9b32699371d00678780ae0ca55`
BLAKE2b-256	`fd0b4090be899678dc0f498e94634f5c6e48482f3f33183cd9a5c58d6a89d2e8`

Hashes for mashlib-0.1.4-py3-none-any.whl

Hashes for mashlib-0.1.4-py3-none-any.whl
Algorithm	Hash digest
SHA256	`74de9b07fd35d52e431fd3a0e64f8273b1edbc0417400887182c6fa02e0442f2`
MD5	`0f32d087e889f937fe6b6349c0316163`
BLAKE2b-256	`36b78e4f8c567955b3b47aed9bdbfdcd08a311e0ab31742920e1ddde97556a32`