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- DL course co-developed by YSDA, HSE and Skoltech
- Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.
- A course in reinforcement learning in the wild
- Code used to generate the data for Derkach, D., Kazeev, N., Ratnikov, F., Ustyuzhanin, A., & Volokhova, A. (2020). Cherenkov detectors fast simulation using neural networks. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 952, 161804.
mlhep2020-assignments
Public- The fast version of DeLong's method for computing the covariance of unadjusted AUC.
CaloGAN
Public- A short course on simulation-based infernce for physics at YSDA in April 2021
everware-base-image
Public archivegumbel_lstm
PublicPreciseGAN
Publicmlhep2019
Public archive