Apprentissage Raisonnement Calcul Axiomatisation Décision Estimation

Logiciels

lincs
lincs Learn and Infer Non Compensatory Sortings Contact : Vincent Mousseau

lincs provide efficient implementations of a collection of MCDA algorithms, available as both a command-line utility and through a Python API. lincs is designed to be easy extendable with new algorithms or even replace parts of existing algorithms. Built in C++ using modern architecture capabilities (Multicore and Gpu), lincs supports Linux (x86_64), macOS (Intel and M1, M2…) and Windows (x86_64).

Hibou
Hibou Holistic Interaction Behavioral Oracle Utility Contact : Erwan Mahé

Hibou is a software suite that allows to visualize interaction models, to execute them according to an operational semantics and to analyze (multi-)traces in relation to an interaction model.

JerboaStudio
JerboaStudio Contact : Romain Pascual

JerboaStudio is an extension of the Jerboa platform that allows for the inference of topology-based geometric modeling operations. It runs on Java.

Choice-Learn
Choice-Learn Large-scale choice modeling through the lens of machine learning Contact : Vincent AURIAU

Choice-Learn is a Python package designed to help you formulate, estimate, and deploy discrete choice models, e.g., for assortment planning. The package provides ready-to-use datasets and models studied in the academic literature. It also provides a lower level use if you wish to customize the specification of the choice model or formulate your own model from scratch. Choice-Learn efficiently handles large-scale choice data by limiting RAM usage.