Alternatives and similar repositories for awesome:

Users that are interested in awesome are comparing it to the libraries listed below

• utd-ai / Data_Mining_in_Action_2018_Spring
  ☆78Updated 6 years ago
• open-data-science / datascience-swiss-knife
  Set of common tools and techniques for everyday data science tasks with examples
  ☆58Updated 5 years ago
• Nikolay-Lysenko / readingbricks
  A structured collection of notes (mostly, on machine learning) and a Flask app for reading and searching them.
  ☆94Updated 3 weeks ago
• vkantor / data_mining_in_action_2017
  ☆23Updated 7 years ago
• sberbank-ai / data-science-journey-2017
  Materials for Data Science Journey 2017
  ☆39Updated 2 years ago
• AndreyGurevich / ods_wiki
  Выжимка полезных моментов из обсуждений в ods.ai
  ☆46Updated 5 years ago
• datagym-ru / dl_cmu_content
  Course content repository
  ☆29Updated 5 years ago
• sberbank-ai / ai-journey-2019
  Материалы соревнования AI Journey 2019
  ☆22Updated 2 years ago
• mlrepa / meetups
  Content for ML REPA MeetUps
  ☆30Updated 5 years ago
• yandexdataschool / YSDA_deeplearning17
  Yandex SDA classes on deep learning. Version of year 2017
  ☆116Updated 7 years ago
• vkantor / MIPT_Data_Mining_In_Action_2016
  "Data Mining in Action Course", Moscow Institute of Physics and Technologies
  ☆212Updated 4 years ago
• deeppavlov / deep-nlp-seminars
  Materials for deep NLP course
  ☆118Updated 6 years ago
• bendyna / tinkoff-challenge-2
  ☆23Updated 8 years ago
• VasiliyRubtsov / SberbankSol
  ☆20Updated 8 years ago
• a4tunado / lectures-hse-spark
  Масштабируемое машинное обучение и анализ больших данных с Apache Spark
  ☆21Updated 7 years ago
• Dyakonov / sascompetitions
  Описание алгоритмов для соревнования https://sascompetitions.ru/
  ☆26Updated 7 years ago
• Dyakonov / python_hacks
  Приёмы при написании python-программ
  ☆79Updated 9 months ago
• Dyakonov / ml_hacks
  Приёмы в машинном обучении
  ☆195Updated last year
• utd-ai / DMIA2018_Fall_public
  ☆67Updated 6 years ago
• emilkayumov / aws-jupyter
  Simple scripts for starting to use AWS machine for machine learning with instruction in Russian.
  ☆30Updated 7 years ago
• kuk / parallel-cell
  ☆46Updated 9 years ago
• aosokin / dl_cshse_ami
  Материалы курса "Глубинное обучение", ФКН ВШЭ, бакалаврская программа ПМИ
  ☆159Updated 2 years ago
• DmitrySerg / memology
  Memes - why so popular?
  ☆35Updated 6 years ago
• DBusAI / PyTorchChallenge
  10 tasks with 3 exercises each based on PyTorch
  ☆107Updated 4 years ago
• mephistopheies / mlworkshop39_042017
  MeetAI - machine learning workshop
  ☆56Updated 8 years ago
• Dyakonov / notebooks
  my notebooks
  ☆39Updated 3 years ago
• yandexdataschool / ml-training-website
  ML Training website
  ☆43Updated 5 years ago
• MailRuChamps / telecomdatacup
  Описание задачи
  ☆36Updated 6 years ago
• data-mining-in-action / DMIA_Industry_2019_Spring
  ☆33Updated 2 years ago
• vkantor / MIPT_Data_mining_in_action_2015
  Data mining and machine learning course at MIPT
  ☆24Updated 9 years ago