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The industrial transfer of the scientific activities of the Centre Borelli is realized through chairs set up with industrial partners.
The Industrial Data Analytics and Machine Learning (IDAML) chair aims to develop scientific expertise in data science and machine learning applied to industry.
The centre Borelli regularly organizes seminars, working groups and scientific meetings.
The space where the researchers of the Centre Borelli deposit and share their projects and codes.
The ADAPT package is an open source library providing numerous tools to perform Transfer Learning and Domain Adaptation.
The centre Borelli and its researchers develop and make available to the scientific community tools and software solutions.
Python/Ruptures is a Python library for off-line change point detection that provides methods for the analysis and segmentation of non-stationary signals.
S2P is a processing chain developed at the Centre Borelli, in collaboration with CNES, which allows the estimation of 3D information from pairs of stereo images taken by satellite.