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deep_vision_and_graphics
PublicCourse about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.- DL course co-developed by YSDA, HSE and Skoltech
Practical_RL
PublicA course in reinforcement learning in the wildcuda_course
Publiccpp0_course
Publicsphinx-lesson-template
Public templatesdc_course
PublicfastDIRC
PublicCode 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.asml
Publiclilbert
Publicmlhep2020-assignments
Publicroc_comparison
PublicThe fast version of DeLong's method for computing the covariance of unadjusted AUC.MLatImperial2022
Publicdlatscale_draft
PublicML-Handbook
PublicML-Handbook-materials
Publicmlhep-2021-baseline
PublicCaloGAN
Public- A short course on simulation-based infernce for physics at YSDA in April 2021
everware-base-image
Public archiveMLHEP2020-black-box
PublicMLHEP-2020-muon-id
Publicgumbel_lstm
PublicPreciseGAN
Publicmlhep2019
Public archive