MadNIS is a Python library for neural importance sampling based on PyTorch. It will be used for Monte Carlo LHC event generation in future versions of MadGraph5_aMC@NLO.
MadGraph5_aMC@NLO is a framework that aims at providing all the elements necessary for SM and BSM phenomenology, such as the computations of cross sections, the generation of hard events and their matching with event generators, and the use of a variety of tools relevant to event manipulation and analysis.
