Published:
Authors: Lénaïg Cornanguer and Pierre-François Gimenez
License: BSD-3-Clause
TADAM is a probabilistic time automata learner from noisy observations, made in the context of the SecGen associate team between Inria and CISPA. It an implementation of the learning algorithm described in TADAM: Learning Timed Automata From Noisy Observations. Pypi page. Source code.
Published:
Authors: Joscha Cüppers, Pierre-François Gimenez and Adrien Schoen
License: MIT
FlowChronicle is a network flow records data miner and generator, made in the context of the SecGen associate team between Inria and CISPA. It an implementation of the system described in FlowChronicle: Synthetic Network Flow Generation through Pattern Set Mining. Pypi page. Source code.
Published:
Authors: Pierre-François Gimenez
License: MIT
Implementation of the CP-net learner described in Learning Conditional Preference Networks: an Approach Based on the Minimum Description Length Principle. Pypi page. Source code.
Published:
Authors: Pierre-François Gimenez
License: MIT
This python module is an free and open source implementation of the empirical Christoffel function applied to outlier detection as proposed by Lasserre and Pauwels in The empirical Christoffel function with applications in data analysis. Pypi page. Source code.