A set of open source frameworks for Artificial Intelligence (mostly machine learning and optimization).
Project description
Python Artificial Intelligence Framework
Copyright (c) 2014-2019 Jeremie DECOCK (http://www.jdhp.org)
Web site: http://www.ailib.io
Online documentation: http://www.ailib.io/docs/
Examples: http://www.ailib.io/docs/gallery/
Source code: https://github.com/jeremiedecock/ailib
Issue tracker: https://github.com/jeremiedecock/ailib/issues
AILib on PyPI: https://pypi.org/project/ailib/
AILib on Anaconda Cloud: https://anaconda.org/jdhp/ailib
Description
AILib is a set of open source frameworks for Artificial Intelligence (mostly machine learning and optimization).
This contains (among others):
a blackbox non linear noisy optimization framework;
a machine learning framework;
a multistage optimization and Markov Decision Process framework (Markov Decision Processes).
Dependencies
Python >= 3.0
Numpy
Matplotlib
Installation
Gnu/Linux
You can install, upgrade, uninstall AILib with these commands (in a terminal):
pip install --pre ailib pip install --upgrade ailib pip uninstall ailib
Or, if you have downloaded the AILib source code:
python3 setup.py install
Windows
You can install, upgrade, uninstall AILib with these commands (in a command prompt):
py -m pip install --pre ailib py -m pip install --upgrade ailib py -m pip uninstall ailib
Or, if you have downloaded the AILib source code:
py setup.py install
MacOSX
You can install, upgrade, uninstall AILib with these commands (in a terminal):
pip install --pre ailib pip install --upgrade ailib pip uninstall ailib
Or, if you have downloaded the AILib source code:
python3 setup.py install
Documentation
Online documentation: http://ailib.readthedocs.org
API documentation: http://ailib.readthedocs.org/en/latest/api.html
Example usage
TODO
Bug reports
To search for bugs or report them, please use the AILib Bug Tracker at:
License
This project is provided under the terms and conditions of the MIT License.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.