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Недавно в нашем чате обсуждали подборку опенсорс-библиотек для ИИ от ICT Moscow - и вот вышла расширенная версия:

В этот раз авторы собрали полноценную карту из 128 инструментов Open Source для ИИ-разработчиков за пять лет.

Посмотреть, что получилось, можно здесь:
- https://ict.moscow/research/russian-open-source-ai-map/ (с подробным описанием);
- https://ict.moscow/static/download/862d92ef-6bc9-3f88-b987-3aa6e2b3059f (чисто pdf);
- https://hottg.com/ict_moscow_analytics/5403 (пост с превью аналитики).

За основу взята прошлая подборка, расширен период (2020-2025), доработан контент (в чате как раз обсуждали, что было упущено в первой итерации - например, LightAutoML)

На карте инструменты разбиты на группы по типам и по характеру прикладных задач, по ссылкам — карточки с краткими описаниями и ссылками на репозитории.

Также в приложении к карте отдельно собраны профили некоторых участников команд на GitHub, HuggingFace, ResearchGate, Habr и других платформах.

Про проекты команд из ИТМО тоже вспомнили - FEDOT, ProtoLLM, LLAMATOR, совместный со Сбером Stalactite.

Data Science by ODS.ai 🦜
Forwarded from Научный опенсорс (Nikolay Nikitin)
Недавно в нашем чате обсуждали подборку опенсорс-библиотек для ИИ от ICT Moscow - и вот вышла расширенная версия:

В этот раз авторы собрали полноценную карту из 128 инструментов Open Source для ИИ-разработчиков за пять лет.

Посмотреть, что получилось, можно здесь:
- https://ict.moscow/research/russian-open-source-ai-map/ (с подробным описанием);
- https://ict.moscow/static/download/862d92ef-6bc9-3f88-b987-3aa6e2b3059f (чисто pdf);
- https://hottg.com/ict_moscow_analytics/5403 (пост с превью аналитики).

За основу взята прошлая подборка, расширен период (2020-2025), доработан контент (в чате как раз обсуждали, что было упущено в первой итерации - например, LightAutoML)

На карте инструменты разбиты на группы по типам и по характеру прикладных задач, по ссылкам — карточки с краткими описаниями и ссылками на репозитории.

Также в приложении к карте отдельно собраны профили некоторых участников команд на GitHub, HuggingFace, ResearchGate, Habr и других платформах.

Про проекты команд из ИТМО тоже вспомнили - FEDOT, ProtoLLM, LLAMATOR, совместный со Сбером Stalactite.
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How Does Bitcoin Mining Work?

Bitcoin mining is the process of adding new transactions to the Bitcoin blockchain. It’s a tough job. People who choose to mine Bitcoin use a process called proof of work, deploying computers in a race to solve mathematical puzzles that verify transactions.To entice miners to keep racing to solve the puzzles and support the overall system, the Bitcoin code rewards miners with new Bitcoins. “This is how new coins are created” and new transactions are added to the blockchain, says Okoro.

Недавно в нашем чате обсуждали подборку опенсорс-библиотек для ИИ от ICT Moscow - и вот вышла расширенная версия:

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