automl-trainer-cifar10n100

auto train tool for cifar100 data

These details have not been verified by PyPI

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

Project description

...Not available yet. It will be provided at a later date. if you want to testing this model you have to contect to ours on mail(csyhkim@silla.ac.kr)

These details have not been verified by PyPI

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

This version

0.0.2

Jan 25, 2023

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

Uploaded Jan 25, 2023 Source

Uploaded Jan 25, 2023 Python 3

Hashes for automl-trainer-cifar10n100-0.0.2.tar.gz
Algorithm	Hash digest
SHA256	`a993cc9f284da0e1a3fbd33ceee1659b6bcc57178f828df41d8ff1a08806a770`
MD5	`ee88ff9185b96bec5327cb506e97cdda`
BLAKE2b-256	`953276202357ee783117f9f2cdeaca6a95ae6e4b8456e6f89375fcfdd56762b1`

Hashes for automl_trainer_cifar10n100-0.0.2-py3-none-any.whl
Algorithm	Hash digest
SHA256	`6cbbab759d33637ce18e3ec5880d6aff7960bfba5500f112639487176163530a`
MD5	`0beb25023bb362946b31463d79491f6c`
BLAKE2b-256	`de6af789dfc29ede2cb83ffaa1d371d125b6e2e17f4221a72f3a769fa0b0d659`