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
opencv-mat
auth0-deploy-cli
zope.component
qtabwidget
django-rest-framework-jwt
nuget-package-manager-console
whenever
rvmrc
avpro-media-player
pari
redux-toolkit
scnscene
log-analysis
mlp
worker
tcpsocket
flatlist
r-daisy
umd
human-readable
apache-commons-fileupload
py-bnlearn
cypress-xpath
protoc
urlconnection
app-id
multi-database-connections
dcevm
update-inner-join
recarray
