Open-Source
Open-Source in AI
MAESTRO: Code for the Paper “Multimodal, Multitemporal, and Multispectral Earth Observation Data“
Antoine Labatie, Michael Vaccaro, Nina Lardiere, Anatol Garioud, Nicolas Gonthier, 2025
[Link] to readme and source.
Moments-DNNs: Code for the Paper “Characterizing Well-Behaved vs. Pathological Deep Neural Networks“
Antoine Labatie, 2019
[Link] to readme and source.
Optim-PV-Battery: Solution for the Challenge ”power laws: optimizing demand-side strategies” (using DQNs, Policy Networks)
Antoine Labatie, 2018
[Link] to readme and source.
Nomad: Solution for the Challenge ”nomad2018 predicting transparent conductors” (using CNNs, SVR + Model Stacking)
Antoine Labatie, 2018
[Link] to readme and source.
Open-Source in Statistics applied to Cosmology
BAOlab: Baryon Acoustic Oscillations Software
Antoine Labatie, Jean-Luc Starck, Marc Lachièze-Rey, 2012
C++ toolbox for the statistical analysis of galaxy surveys.
[Link]