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https://github.com/src-d/ml-core

source{d} MLonCode foundation - core algorithms and models.
https://github.com/src-d/ml-core

machine-learning mloncode

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source{d} MLonCode foundation - core algorithms and models.

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# MLonCode Core Library
[![Travis build status](https://travis-ci.com/src-d/ml-core.svg)](https://travis-ci.com/src-d/ml-core)
[![Code coverage](https://codecov.io/github/src-d/ml-core/coverage.svg)](https://codecov.io/github/src-d/ml-core)
[![Read the Docs](https://img.shields.io/readthedocs/ml-core.svg)](https://readthedocs.org/projects/ml-core/)
[![Docker build status](https://img.shields.io/docker/build/srcd/ml-core.svg)](https://hub.docker.com/r/srcd/ml-core)
[![PyPi package status](https://img.shields.io/pypi/v/sourced-ml-core.svg)](https://pypi.python.org/pypi/sourced-ml-core)
![stability: alpha](https://svg-badge.appspot.com/badge/stability/alpha?color=f47142)
[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)

This library is the foundation for [MLonCode](https://github.com/src-d/awesome-machine-learning-on-source-code) research and development.
It contains commonly used algorithms and tools to process the code-related data, such as [Babelfish's UASTs](https://docs.sourced.tech/babelfish/uast), plain code text and other.

## Contributions

...are welcome! See [CONTRIBUTING.md](docs/CONTRIBUTING.md) and [CODE\_OF\_CONDUCT.md](docs/CODE_OF_CONDUCT.md).

## License

[Apache 2.0](LICENSE.md)

## Glossary

See [here](docs/GLOSSARY.md).