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nlp_course
YSDA course in Natural Language ProcessingPractical_RL
A course in reinforcement learning in the wildPractical_DL
DL course co-developed by YSDA, HSE and SkoltechAgentNet
Deep Reinforcement Learning library for humansdeep_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 carsroc_comparison
The fast version of DeLong's method for computing the covariance of unadjusted AUC.YSDA_deeplearning17
Yandex SDA classes on deep learning. Version of year 2017mlhep2016
Machine Learning in High Energy Physics 2016sklearn-deeprl
Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.MLatGradDays
Course of Machine Learning in Science and Industry at Heidelberg universitymlhep2019
MLHEP'19 slides and notebooksml-training-website
ML Training websitepython_public
Открытые материалы курса по питонуflavours-of-physics-start
Starter kit for "Flavours of Physics" challenge at Kagglegumbel_lstm
Experiments with binary LSTM using gumbel-sigmoidsatellite-collision-avoidance
RL for optimal satellite collision avoidance maneuvresmlhep2018
MLHEP-18 slides and stuffmlhep2017
MLHEP 2017 slides & seminarsCSC_deeplearning
3-day dive into deep learning at cscmanytask
The auto solution checking system for YSDA; server, storing grades and managing deadlinesIDAO-2019-muon-id
Problem for IDAO 2019 on LHCb Muon IdentificationMLatImperial2016
Materials for the course of machine learning at Imperial College organized by YSDAML-Handbook-materials
Notebooks and other media for ML Handbookmlhep2015
MLHEP 2015 materials (http://hse.ru/mlhep2015)modelgym
Gym for predictive modelsmlhep2020-assignments
algorithms
Тут находится страница курса алгоритмов yandexdataschool.rustudents_projects
Темы студенческих проектовcms-dqm
CMS data quality monitoringgumbel_dpg
Blog post: how to do deterministic policy gradient with gumbel softmax and why you should do it.MLatImperial2020
tinyverse
Universe RL trainer platform. Simple. Supple. Scalable.MLatImperial2018
ML at Imperial Collegeneurohack-2016-starterkit
neurohack starter kitasml
dlatscale_draft
This is an early version of Deep Learning at Scale course for Yandex School of Data Analysisinverse-problem-intensive
A short course on simulation-based infernce for physics at YSDA in April 2021QuantileTransformerTF
Tensorflow implementation of sklearn.preprocessing.QuantileTransformerdqn_binder
a deep reinforcement learning tutorialPreciseGAN
A research repo for studying different techniques towards making more precise GANsreproducible_analysis_course
A course on tools for collaborative and reproducible machine learningMLHEP-2020-muon-id
Muon identification chellenge for MLHEP-2020MLatImperial2022
mlhep-course-2016
materials for course on machine learning for HEP at YSDAcrayimage
A toolkit for image manipulation. Not for humans.ML-Handbook
dt
mlhep-course-2017
materials for course on machine learning for HEP at YSDAneurohack-2016-winners
Winners of neuroscience hackathonmlhep2018-starterkit
Starter kit for MLHEP-18 challengecuda_course
DataPopularity
Storage optimization for LHCb experiment.dl-course-tensorflow
[in progress] Translating all our materials from https://github.com/ddtm/dl-course to tensorflowdarkmatter-2017
ship_tracks_recognition
checker
The auto solution checking system for YSDA; client, checking solutions and sending gradeslilbert
mlda
Machine Learning, Data Analysis course materialsMLatMISiS2018
Machine Learning track for Physics at MISiSmanchester-cp-asymmetry-tutorial
Manchester CP asymmetry tutorialdatanight2015-starterkit
Data Analysis Night StarterKit (https://academy.yandex.ru/events/data-analysis-night/2015/)REP_tutorial
Examples of using yandex/rep frameworkcern_summer_school_2017
CERN openlab Summer School 2017 Machine Learning - Parts 3 &4sentinels
sentinels data analysiscern-higgsml-baseline
baseline solution for HiggsML challenge using data from CERN open data portalcrowd_course
cpp0_course
KSfinder
HSE-DataNight-StarterKit
Everware version of HSE data night starter kitaleph2015
Applying (machine) Learning to Experimental Physics (ALEPH) and «Flavours of Physics» challengeeverware-base-image
mamontov-lhc-display
The Large Hadron Collider status display in Yandex HQpyretina
reproducible_analysis_course_py3
eScience-2016-everware
The presentation for https://www.esciencecenter.nl/event/4th-national-escience-symposiumdatanight2015-advanced-starterkit
Data Analysis Night Advanced StarterKit (https://academy.yandex.ru/events/data-analysis-night/2015/)moseskit
Train phrase-based machine translation in one bash command with decent defaults. Docker-powered.MLHEP2020-black-box
A competition for the MLHEP 2020 summer school.Love Open Source and this site? Check out how you can help us