Because Human is perfectible and error-prone, because Science should be open and flow and because cogito ergo sum.

This toolbox will aggregate some machine learning tools from all the walk of lives in order to fast prototype.

.
├── doc
├── LICENSE
├── protoclass
├── README.md
├── setup.py
└── third-party

You can clone this repository with the usual git clone.

This package needs the following dependencies:

• Numpy,
• Scipy,
• Scikit-learn,
• Scikit-image,
• UnbalancedDataset,
• Pyksvd.

The majority of the package are package which can be found in conda or pypi repositories. The packages not available are present as submodule in the folder third-party. To be able to install them, you need to:

1. Initialise the submodule using git submodule init at the root of the repository.
2. Download the source code using git submodule update at the root of the repository.
3. Enter in each sub-repository and follow the install instructions.

You need to run the command python setup.py install.