Python

imitation: Clean Imitation Learning Implementations
imitation provides clean open-source implementations of imitation and reward learning algorithms in PyTorch.
Adam Gleave, Mohammad Taufeeque, Juan Rocamonde, Erik Jenner, Steven H. Wang, Sam Toyer, Maximilian Ernestus, Nora Belrose, Scott Emmons, Stuart Russell
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imitation: Clean Imitation Learning Implementations
Testing new physics models with global comparisons to collider measurements: the Contur toolkit
The Contur package allows users to test new models against a bank of LHC measurements. This manual accompanies the first user-facing version, with the hope that external groups will be able to run their own Contur studies.
A. Buckley, J. M. Butterworth, L. Corpe, M. Habedank, D. Huang, D. Yallup, M. Altakach, G. Bassman, I. Lagwankar, Juan Rocamonde, H. Saunders, B. Waugh, G. Zilgalvis
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Testing new physics models with global comparisons to collider measurements: the Contur toolkit