Explore @yandexdataschool Open Source projects

Yandex School of Data Analysis (@yandexdataschool)

yandexdataschool

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Location 🇷🇺 Russia
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Jupyter Notebook
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Python
63

HTML
93

CSS
104

Shell
171

JavaScript
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Ruby
914

nlp_course

YSDA course in Natural Language Processing

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Practical_RL

A course in reinforcement learning in the wild

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Practical_DL

DL course co-developed by YSDA, HSE and Skoltech

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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.

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speech_course

YSDA course in Speech Processing.

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sdc_course

Short course about self-driving cars

roc_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 2017

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MLatImperial2017

Materials for the course of machine learning at Imperial College organized by Yandex SDA

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mlhep2016

Machine Learning in High Energy Physics 2016

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sklearn-deeprl

Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.

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MLatGradDays

Course of Machine Learning in Science and Industry at Heidelberg university

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mlhep2019

MLHEP'19 slides and notebooks

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ml-training-website

ML Training website

python_public

Открытые материалы курса по питону

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flavours-of-physics-start

Starter kit for "Flavours of Physics" challenge at Kaggle

gumbel_lstm

Experiments with binary LSTM using gumbel-sigmoid

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mlhep2018

MLHEP-18 slides and stuff

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mlhep2017

MLHEP 2017 slides & seminars

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CSC_deeplearning

3-day dive into deep learning at csc

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manytask

The auto solution checking system for YSDA; server, storing grades and managing deadlines

IDAO-2019-muon-id

Problem for IDAO 2019 on LHCb Muon Identification

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MLatImperial2016

Materials for the course of machine learning at Imperial College organized by YSDA

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mlhep2015

MLHEP 2015 materials (http://hse.ru/mlhep2015)

ML-Handbook-materials

Notebooks and other media for ML Handbook

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modelgym

Gym for predictive models

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mlhep2020-assignments

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satellite-collision-avoidance

RL for optimal satellite collision avoidance maneuvres

students_projects

Темы студенческих проектов

algorithms

Тут находится страница курса алгоритмов yandexdataschool.ru

cms-dqm

CMS data quality monitoring

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gumbel_dpg

Blog post: how to do deterministic policy gradient with gumbel softmax and why you should do it.

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MLatImperial2020

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MLatImperial2018

ML at Imperial College

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tinyverse

Universe RL trainer platform. Simple. Supple. Scalable.

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neurohack-2016-starterkit

neurohack starter kit

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asml

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dlatscale_draft

This is an early version of Deep Learning at Scale course for Yandex School of Data Analysis

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inverse-problem-intensive

A short course on simulation-based infernce for physics at YSDA in April 2021

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reproducible_analysis_course

A course on tools for collaborative and reproducible machine learning

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QuantileTransformerTF

Tensorflow implementation of sklearn.preprocessing.QuantileTransformer

dqn_binder

a deep reinforcement learning tutorial

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PreciseGAN

A research repo for studying different techniques towards making more precise GANs

MLHEP-2020-muon-id

Muon identification chellenge for MLHEP-2020

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mlhep-course-2016

materials for course on machine learning for HEP at YSDA

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crayimage

A toolkit for image manipulation. Not for humans.

ML-Handbook

dt

mlhep-course-2017

materials for course on machine learning for HEP at YSDA

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neurohack-2016-winners

Winners of neuroscience hackathon

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mlhep2018-starterkit

Starter kit for MLHEP-18 challenge

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DataPopularity

Storage optimization for LHCb experiment.

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dl-course-tensorflow

[in progress] Translating all our materials from https://github.com/ddtm/dl-course to tensorflow

MLatImperial2022

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darkmatter-2017

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ship_tracks_recognition

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checker

The auto solution checking system for YSDA; client, checking solutions and sending grades

lilbert

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mlda

Machine Learning, Data Analysis course materials

MLatMISiS2018

Machine Learning track for Physics at MISiS

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manchester-cp-asymmetry-tutorial

Manchester CP asymmetry tutorial

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datanight2015-starterkit

Data Analysis Night StarterKit (https://academy.yandex.ru/events/data-analysis-night/2015/)

sentinels

sentinels data analysis

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REP_tutorial

Examples of using yandex/rep framework

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cern_summer_school_2017

CERN openlab Summer School 2017 Machine Learning - Parts 3 &4

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cern-higgsml-baseline

baseline solution for HiggsML challenge using data from CERN open data portal

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KSfinder

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HSE-DataNight-StarterKit

Everware version of HSE data night starter kit

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everware-base-image

aleph2015

Applying (machine) Learning to Experimental Physics (ALEPH) and «Flavours of Physics» challenge

mamontov-lhc-display

The Large Hadron Collider status display in Yandex HQ

pyretina

reproducible_analysis_course_py3

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datanight2015-advanced-starterkit

Data Analysis Night Advanced StarterKit (https://academy.yandex.ru/events/data-analysis-night/2015/)

eScience-2016-everware

The presentation for https://www.esciencecenter.nl/event/4th-national-escience-symposium

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.

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