reprise - REtrospective and PRospective Inference SchEme

reprise is an implementation of the REtrospective and PRospective Inference SchEme in python.

@article{butz2019reprise,
    title = {Learning, planning, and control in a monolithic neural event inference architecture},
    author = {Butz, Martin V. and Bilkey, David and Humaidan, Dania and Knott, Alistair and Otte, Sebastian},
    issn = {08936080},
    doi = {10.1016/j.neunet.2019.05.001},
    journal = {Neural Networks},
    month = may,
    year = {2019},
    volume = {117},
    pages = {135--144}
}

A preprint is available on arXiv: https://arxiv.org/abs/1809.07412

Installation

The easiest way to install reprise is using pip:

pip install --user reprise

For more information have a look at the Installation Guide.

Documentation

reprise uses sphinx to create a documentation manual. The documentation is hosted on Read the Docs.

Getting involved

The reprise project welcomes help in the following ways:

• Making Pull Requests for code, tests or documentation.
• Commenting on open issues and pull requests.
• Helping to answer questions in the issue section.
• Creating feature requests or adding bug reports in the issue section.

For more information on how to contribute to reprise have a look at the development section.

Authors and Contributers

reprise was mainly developed by Fedor Scholz. For the full list of contributers have a look at Github's Contributor summary.

Currently, it is maintained by Fedor Scholz.