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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 2017MLatImperial2017
Materials for the course of machine learning at Imperial College organized by Yandex SDAmlhep2016
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 tutorialREP_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