ML model deployment made simple
Project description
KubeMo
KubeMo aims to simplify ML model deployment by aggregating as many machine-learning frameworks as possible into unified APIs along with the help of cloud-native toolkits.
Installation
KubeMo needs Python (>= 3.7) installed on your device.
From PyPi
KubeMo has been published to PyPi, so you can install it simply by using pip.
pip install kubemo
Note that KubeMo is not ready for production until the first stable release, so you can eithor wait or help us reach the day earlier :)
Manually
Clone or download this repo and install it by using pip in its root directory.
git clone https://github.com/kubemo/kubemo.git && cd kubemo
pip install .
Or add the -e
flag if you would like to play around KubeMo before an actual installation.
pip install -e .
Documentation
Check out this site for detailed information about KubeMo, or you may first take a look at some basic examples.
Contribution
Pull requests are welcome. Note that every PR needs to refer to an issue, so please submit an issue before sending a new PR.
Feedbacks
Bugs here and ideas here, thanks.
License
KubeMo is Apache 2.0 licensed.
Project details
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