| ... |
... |
@@ -1,35 +1,1 @@ |
| 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. |
|
1 |
+test |
