Alternatives and similar repositories for hse-applied-statistics-2018

Users that are interested in hse-applied-statistics-2018 are comparing it to the libraries listed below

• aosokin / dl_cshse_ami
  Материалы курса "Глубинное обучение", ФКН ВШЭ, бакалаврская программа ПМИ
  ☆159Updated 2 years ago
• nadiinchi / dl_labs
  ☆26Updated 4 years ago
• MerkulovDaniil / mipt_optimization
  Optimization methods course at MIPT
  ☆11Updated 7 years ago
• bdemeshev / mlearn_pro
  Machine learning problems
  ☆18Updated 5 years ago
• utd-ai / DMIA2018_Fall_public
  ☆66Updated 6 years ago
• data-mining-in-action / DMIA_Sport_2019_Spring
  Репозиторий спортивного направления DMIA, весна 2019
  ☆23Updated 3 years ago
• amkatrutsa / seminars-fivt
  Seminars on optimization methods
  ☆30Updated 3 years ago
• deeppavlov / tdl2
  Theoretical Deep Learning: generalization ability
  ☆46Updated 5 years ago
• artonson / ysda-asml-2018
  Materials for Yandex Data School course "Applied Statistics in Machine Learning"
  ☆8Updated 8 years ago
• data-mining-in-action / DMIA_DL_2019_Spring
  Repository for Data Mining in Action Spring 2019 Deep Learning track
  ☆23Updated 6 years ago
• utd-ai / Data_Mining_in_Action_2018_Spring
  ☆78Updated 6 years ago
• datagym-ru / dl_cmu_content
  Course content repository
  ☆29Updated 5 years ago
• data-mining-in-action / DMIA_Industry_2019_Spring
  ☆33Updated 2 years ago
• deeppavlov / tdl
  Course "Theories of Deep Learning"
  ☆196Updated 5 years ago
• MelLain / hse-nlp
  Репозиторий для лекций, семинаров и заданий по курсу "Анализ неструктурированных данных" ФКН ВШЭ
  ☆34Updated 6 years ago
• ml-mipt / ml-mipt-part1
  Old materials of ML course at MIPT 20..-2018
  ☆66Updated 6 years ago
• shestakoff / hse_se_ml
  Materials for course "Data Analysis" for Software Engineering in HSE
  ☆32Updated 4 years ago
• mikhailefimov / wildfire
  Wildfire competition.
  ☆20Updated 5 years ago
• Yorko / dl_in_nlp_deeppavlov_cs224n_spring2020
  "Deep Learning in Natural Language Processing" - a course by DeepPavlov built on top of Stanford's cs224n
  ☆100Updated 3 years ago
• Dyakonov / python_hacks
  Приёмы при написании python-программ
  ☆79Updated 10 months ago
• amkatrutsa / nla2019_ozon
  NLA course in OZON Masters
  ☆32Updated 5 years ago
• bayesgroup / HSE_ML_research_seminar
  ☆21Updated 2 years ago
• data-mining-in-action / DMIA_Base_2019_Spring
  ☆27Updated 6 years ago
• Dyakonov / sascompetitions
  Описание алгоритмов для соревнования https://sascompetitions.ru/
  ☆26Updated 7 years ago
• esokolov / ml-minor-hse
  ☆76Updated 5 years ago
• data-mining-in-action / DMIA_Industry_2019_Autumn
  ☆21Updated 3 years ago
• vkantor / data_mining_in_action_2017
  ☆23Updated 7 years ago
• ml-mipt / ml-mipt-part2
  Old materials of Advanced ML course at MIPT 20..-2018
  ☆24Updated 6 years ago
• oseledets / nla2018
  NLA 2018 Skoltech course
  ☆55Updated 6 years ago
• yandexdataschool / python_public
  Открытые материалы курса по питону
  ☆42Updated 6 years ago