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| author | version | line-number | content |
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| 1 | **AngoraPy** is an open source modeling library for [[goal-oriented research>>https://pubmed.ncbi.nlm.nih.gov/26906502/]] in **neuroscience**. It provides a simple interface to train deep neural network models of the human brain on various, customizable, sensorimotor tasks, using reinforcement learning. It thereby empowers goal-driven modeling to surpass the sensory domain and enter that of sensori//motor// control, closing the perception-action loop. | ||
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| 3 | **AngoraPy** is designed to require no deeper understanding of reinforcement learning. It employs state-of-the-art machine learning techniques, optimized for distributed computation scaling from local workstations to high-performance computing clusters. We aim to hide as much of this under the hood of an intuitive, high-level API but preserve the option for customizing most aspects of the pipeline. | ||
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| 5 | This library is developed as part of the [[Human Brain Project>>https://www.humanbrainproject.eu/]] at [[CCN Maastricht>>https://www.ccnmaastricht.com/]]. It is an effort to build software by neuroscientists, for neuroscientists. If you have suggestions, requests or questions, feel free to [[open an issue>>https://github.com/ccnmaastricht/angorapy/issues/new/choose]]. | ||
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| 7 | === Installation === | ||
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| 9 | AngoraPy is available on PyPI. | ||
| 10 | |||
| 11 | {{code language="bash"}} | ||
| 12 | pip install angorapy | ||
| 13 | {{/code}} | ||
| 14 | |||
| 15 | ==== From source ==== | ||
| 16 | |||
| 17 | You can access the source code on [[Github>>https://github.com/ccnmaastricht/angorapy]]. After downloading, you may install it by pip. | ||
| 18 | |||
| 19 | {{code language="bash"}} | ||
| 20 | pip install -e . | ||
| 21 | {{/code}} | ||
| 22 | |||
| 23 | === Docker === | ||
| 24 | |||
| 25 | Alternatively, you can install AngoraPy and all its dependencies in a docker container using the Dockerfile provided in this repository (/docker/Dockerfile). To this end, download the repository and build the docker image from the /docker directory: | ||
| 26 | |||
| 27 | {{code}} | ||
| 28 | sudo docker build -t angorapy:master https://github.com/ccnmaastricht/angorapy.git#master -f - < Dockerfile | ||
| 29 | {{/code}} | ||
| 30 | |||
| 31 | To install different versions, replace #master in the source by the tag/branch of the respective version you want to install. | ||
| 32 | |||
| 33 | === **More Information** === | ||
| 34 | |||
| 35 | For more information consult our [[Github>>https://github.com/ccnmaastricht/angorapy]] page. |
