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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.
	2	+
	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.
	4	+
	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]].
	6	+
	7	+=== Installation ===
	8	+
	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.