I'm working on an application that is a "predictive-model-as-a-service", structured as follows: train a model offline periodically upload model parameters to a
real-time-multiplayer
svg-defs
woocommerce-currency-switcher
monorepo
meteorite
xsbt-web-plugin
sql-agent
lowdb
form-submit
identity-insert
pecs
data-importer
commandparameter
kotlintest
type-alias
utility-method
chromium-portable
server-communication
liferay-dxp
git-status
node-persist
desktop-bridge
python-arrow
faunadb
pymodis
mongodb-tools
gitlab-ci
rselenium
rendermonkey
xacml
