INSTALL API

Machine learning models can largely outperform classical algorithms to make predictions about complexe problems, e.g. recognizing trees (which can vary a lot depending on the season, the species…). To do so, they learn from data (either from examples or experience) instead of following a well-defined sequence of instructions (like a cooking recipe). We humans do the same to teach our kids to recognize trees: we do not provide instructions but examples.

Python 3.6 or above is required. You can install by Via PyPI, Via GitHub for the latest development version or Development installation.

Step by step installation of GEMS-AI package

SUB-MODULES

FUNCTIONS

CLASSES

Code source on GitHub

You can find onGitHub : theIntroduction, Installation guide, User guide (Measuring model influence, Evaluating model reliability, Support for image classification), Authors and License.

 

Go to Github

This work is done at the Toulouse Mathematics Institute. It is supported by the Centre National de la Recherche Scientifique (CNRS) and in collaboration with the Artificial and Natural  Intelligence Toulouse

        

 

Contact us

Toulouse
Mathematics Institute

118 Rte de Narbonne
31400 Toulouse - FRANCE
contact@gems-ai.com

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HOW IT WORKS
SEE FEATURES
INSTALL API
USE TUTORIALS
ABOUT GEMS AI
GO TO GITHUB

 

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