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-**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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+= My Collab's Extended Title = |
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-**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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+My collab's subtitle |
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-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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+= What can I find here? = |
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-=== Installation === |
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+* Notice how the table of contents on the right |
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+* is automatically updated |
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+* to hold this page's headers |
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-AngoraPy is available on PyPI. |
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+= Who has access? = |
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-{{code language="bash"}} |
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-pip install angorapy |
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-{{/code}} |
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+Describe the audience of this collab. |
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-==== From source ==== |
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-You can access the source code on [[Github>>https://github.com/ccnmaastricht/angorapy]]. After downloading, you may install it by pip. |
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+{{box title="**Contents**"}} |
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+{{toc/}} |
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+{{/box}} |
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-{{code language="bash"}} |
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-pip install -e . |
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-{{/code}} |
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-=== Docker === |
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-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: |
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-{{code}} |
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-sudo docker build -t angorapy:master https://github.com/ccnmaastricht/angorapy.git#master -f - < Dockerfile |
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-{{/code}} |
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-To install different versions, replace #master in the source by the tag/branch of the respective version you want to install. |
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-=== **More Information** === |
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-For more information consult our [[Github>>https://github.com/ccnmaastricht/angorapy]] page. |
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+))) |
