Yandex School of Data Analysis ORG

YSDA course in Natural Language Processing

A 12-week university NLP course from Yandex School of Data Analysis, with hands-on Jupyter Notebook exercises covering text classification, machine translation, dialogue systems, and more.

Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.

DL course co-developed by YSDA, HSE and Skoltech

A course in reinforcement learning in the wild

YSDA course in Speech Processing.

Deep Reinforcement Learning library for humans

Short course about self-driving cars

The fast version of DeLong's method for computing the covariance of unadjusted AUC.

Recommender Systems course in YSDA.

Yandex SDA classes on deep learning. Version of year 2017

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

Machine Learning in High Energy Physics 2016

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

Course of Machine Learning in Science and Industry at Heidelberg university

MLHEP'19 slides and notebooks

ML Training website

Открытые материалы курса по питону

Starter kit for "Flavours of Physics" challenge at Kaggle

RL for optimal satellite collision avoidance maneuvres

Experiments with binary LSTM using gumbel-sigmoid

Тут находится страница курса алгоритмов yandexdataschool.ru

Notebooks and other media for ML Handbook

MLHEP 2017 slides & seminars

MLHEP-18 slides and stuff

3-day dive into deep learning at csc

Problem for IDAO 2019 on LHCb Muon Identification

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

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

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Gym for predictive models

Темы студенческих проектов

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

CMS data quality monitoring

ML at Imperial College

Universe RL trainer platform. Simple. Supple. Scalable.

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neurohack starter kit

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

Baseline for MLHEP 2021 competitions

Tensorflow implementation of sklearn.preprocessing.QuantileTransformer

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

A course on tools for collaborative and reproducible machine learning

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

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

a deep reinforcement learning tutorial

Muon identification chellenge for MLHEP-2020

Starter kit for MLHEP-18 challenge

A toolkit for image manipulation. Not for humans.

materials for course on machine learning for HEP at YSDA

Winners of neuroscience hackathon

materials for course on machine learning for HEP at YSDA

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

Storage optimization for LHCb experiment.

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Machine Learning track for Physics at MISiS

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Machine learning algorithms for high energy physics.

Machine Learning, Data Analysis course materials

Train phrase-based machine translation in one bash command with decent defaults. Docker-powered.

Everware version of HSE data night starter kit

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

Examples of using yandex/rep framework

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

Manchester CP asymmetry tutorial

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

sentinels data analysis

LHCb RUN-II topological trigger upgrading

HSSE mini-games 2025

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Roman Garipov's gpu_parallel.py from hogwild_inference

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.

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

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The Large Hadron Collider status display in Yandex HQ

A competition for the MLHEP 2020 summer school.

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

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scikit-learn: machine learning in Python

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Empty template lesson

A system for assigning and grading notebooks

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

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A student starterkit for the school

Experiments for the "Machine Learning on data with sPlot background subtraction" paper

LSML grade projects info

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Everware is about re-useable science, it allows people to jump right in to your research code.

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LHCb GAN experiments

Environment for those who wish to run the Introduction to Deep Learning course materials locally

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a simple binder app for HSE schools workshop

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DevOps example on COMET tracking dataset

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Dockerfile for deep learning tutorial on https://indico.cern.ch/event/452159/other-view?view=standard

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MLHEP 2015 starter kit

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