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8 changes: 8 additions & 0 deletions README.md
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[![codecov.io](http://codecov.io/github/invenia/Nabla.jl/coverage.svg?branch=master)](http://codecov.io/github/invenia/Nabla.jl?branch=master)
[![Stable Docs](https://img.shields.io/badge/docs-stable-blue.svg)](https://invenia.github.io/Nabla.jl/stable)
[![Latest Docs](https://img.shields.io/badge/docs-latest-blue.svg)](https://invenia.github.io/Nabla.jl/latest)

Nabla.jl is a reverse-mode automatic differentiation package targetting machine learning use cases.
As such, we have (for example) prioritised support for linear algebra optimisations and higher-order functions over the ability to take higher-order derivatives (Nabla currently only supports first-order derivatives).

Nabla is currently under active development and improved documentation will be made available soon.
Until then, the code in the [examples](src/examples) folder best indicates how to use the package.
Given the early stage of development, we anticipate a number of bugs and performance issues.
If you encounter any of these or have any particular feature requests, please raise an issue and let us know.