Pinned Repositories
AgentNet
Deep Reinforcement Learning library for humans
deep_vision_and_graphics
Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.
MLatImperial2017
Materials for the course of machine learning at Imperial College organized by Yandex SDA
nlp_course
YSDA course in Natural Language Processing
Practical_DL
DL course co-developed by YSDA, HSE and Skoltech
Practical_RL
A course in reinforcement learning in the wild
roc_comparison
The fast version of DeLong's method for computing the covariance of unadjusted AUC.
sdc_course
Short course about self-driving cars
speech_course
YSDA course in Speech Processing.
YSDA_deeplearning17
Yandex SDA classes on deep learning. Version of year 2017
Yandex School of Data Analysis's Repositories
yandexdataschool/nlp_course
YSDA course in Natural Language Processing
yandexdataschool/Practical_RL
A course in reinforcement learning in the wild
yandexdataschool/Practical_DL
DL course co-developed by YSDA, HSE and Skoltech
yandexdataschool/deep_vision_and_graphics
Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.
yandexdataschool/speech_course
YSDA course in Speech Processing.
yandexdataschool/sdc_course
Short course about self-driving cars
yandexdataschool/roc_comparison
The fast version of DeLong's method for computing the covariance of unadjusted AUC.
yandexdataschool/mlhep2016
Machine Learning in High Energy Physics 2016
yandexdataschool/mlhep2019
MLHEP'19 slides and notebooks
yandexdataschool/ml-training-website
ML Training website
yandexdataschool/gumbel_lstm
Experiments with binary LSTM using gumbel-sigmoid
yandexdataschool/ML-Handbook-materials
Notebooks and other media for ML Handbook
yandexdataschool/mlhep2020-assignments
yandexdataschool/satellite-collision-avoidance
RL for optimal satellite collision avoidance maneuvres
yandexdataschool/algorithms
Тут находится страница курса алгоритмов yandexdataschool.ru
yandexdataschool/asml
yandexdataschool/dlatscale_draft
This is an early version of Deep Learning at Scale course for Yandex School of Data Analysis
yandexdataschool/inverse-problem-intensive
A short course on simulation-based infernce for physics at YSDA in April 2021
yandexdataschool/mlhep-2021-baseline
Baseline for MLHEP 2021 competitions
yandexdataschool/CaloGAN
Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
yandexdataschool/PreciseGAN
A research repo for studying different techniques towards making more precise GANs
yandexdataschool/ML-Handbook
yandexdataschool/MLatImperial2022
yandexdataschool/MLHEP-2020-muon-id
Muon identification chellenge for MLHEP-2020
yandexdataschool/lilbert
yandexdataschool/everware-base-image
yandexdataschool/MLHEP2020-black-box
A competition for the MLHEP 2020 summer school.
yandexdataschool/crowd_course
yandexdataschool/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.
yandexdataschool/ML-sWeights-experiments
Experiments for the "Machine Learning on data with sPlot background subtraction" paper