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All Projects → invenia → Nabla.jl

invenia / Nabla.jl

Licence: other
A operator overloading, tape-based, reverse-mode AD

Programming Languages

julia
2034 projects

Labels

automatic-differentiationjulia-languageautodiff

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Nabla

CI codecov.io Stable Docs Latest Docs

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).

The latest docs, and code in the examples folder, best indicate 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.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].