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code-annotation's Introduction

Source Code Annotation application

In order to evaluate quality of ML models, as well as to create “ImageNet for source core” there is a need for tools to automate the data collection/labeling/annotation.

Installation

Docker

docker build -t code-annotation .
docker run --rm -p 8080:8080 code-annotation

Non-docker

go get <here will be path>
cd $GOPATH/<here will be path>
make serve

Contributing

Please take a look at CONTRIBUTING file to see how to contribute in this project, get more information about the dashboard architecture and how to launch it for development purposes.

License

GPLv3, see LICENSE

code-annotation's People

Contributors

smacker avatar bzz avatar dpordomingo avatar

Watchers

James Cloos avatar Vadim Markovtsev avatar

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