aiopening | Python library for games and reinforcement learning

by ducandu Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | aiopening Summary

aiopening is a Python library. aiopening has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

aiopening is a Python library for games and reinforcement learning (RL) algorithms with focus on deep-neural-nets and deep-RL.

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Support

aiopening has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

aiopening has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of aiopening is current.

Quality

aiopening has no bugs reported.

Security

aiopening has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

aiopening is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

aiopening releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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aiopening Key Features

No Key Features are available at this moment for aiopening.

aiopening Examples and Code Snippets

No Code Snippets are available at this moment for aiopening.

Community Discussions

No Community Discussions are available at this moment for aiopening.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install aiopening

aiopening only depends on the python3 libs: tensorflow/tensorflow-gpu and deepmind's sonnet library. Here is how to get setup with aiopening:. Check the printout after running the last command for mentions of: "(/gpu:0) -> (device: 0, name: GeForce GTX 980 ..." NOTE: The name of your GPU may vary depending on your Nvidia GPU type.
Install Anaconda3 (Python 3.6 version) on your PC
Open an "Anaconda Prompt" from your Win start menu
Create a new env and call it "aiopening" by typing:
Switch into the newly created aiopening env:
Install pygame download the Windows wheel from http://www.lfd.uci.edu/~gohlke/pythonlibs/ (pygame‑1.9.3‑cp36‑cp36m‑win_amd64.whl) and install it into the still activated aiopening Anaconda env via:
If your PC has a Nvidia GPU, follow the tensorflow GPU installation procedure here first (skipping everything from "Install Anaconda" on: https://nitishmutha.github.io/tensorflow/2017/01/22/TensorFlow-with-gpu-for-windows.html
Install the tensorflow package into our still active aiopening Anaconda env via:
Test your new tensorflow-gpu installation:
Manually install deepmind's sonnet library in your aiopening env dm-sonnet is based on tensorflow and makes it very easy to build simple sub modules (e.g. a ConvNet unit) and then plug-and-play these modules to create larger and more complex NN topologies.
While still in your conda env named aiopening: do a cd [any directory of your choice]
git clone http://github.com/deepmind/sonnet or download and unzip sonnet directly from github: https://github.com/deepmind/sonnet/
Rename setup.py.temp into setup.py
In setup.py, change the line project_name = '%%%PROJECT_NAME%%%' to project_name = 'dm-sonnet-gpu'
Rename the BUILD file into BUILD_test
Now try in the directory of the setup.py file: python setup.py install. This should do a basic Win10 install (no C++ code compiled).
WIP: Not done yet. More instructions to follow on how to install aiopening itself ...

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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