Yandex School of Data Analysis's repositories
nlp_course
YSDA course in Natural Language Processing
Practical_RL
A course in reinforcement learning in the wild
Practical_DL
DL course co-developed by YSDA, HSE and Skoltech
deep_vision_and_graphics
Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.
speech_course
YSDA course in Speech Processing.
sdc_course
Short course about self-driving cars
roc_comparison
The fast version of DeLong's method for computing the covariance of unadjusted AUC.
ml-training-website
ML Training website
gumbel_lstm
Experiments with binary LSTM using gumbel-sigmoid
satellite-collision-avoidance
RL for optimal satellite collision avoidance maneuvres
ML-Handbook-materials
Notebooks and other media for ML Handbook
algorithms
Тут находится страница курса алгоритмов yandexdataschool.ru
dlatscale_draft
This is an early version of Deep Learning at Scale course for Yandex School of Data Analysis
inverse-problem-intensive
A short course on simulation-based infernce for physics at YSDA in April 2021
mlhep-2021-baseline
Baseline for MLHEP 2021 competitions
PreciseGAN
A research repo for studying different techniques towards making more precise GANs
MLHEP-2020-muon-id
Muon identification chellenge for MLHEP-2020
MLHEP2020-black-box
A competition for the MLHEP 2020 summer school.
fastDIRC
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.
ML-sWeights-experiments
Experiments for the "Machine Learning on data with sPlot background subtraction" paper