Generative Ai – Telegram
Generative Ai
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Анонсы интересных библиотек и принтов в сфере AI, Ml, CV для тех кто занимается DataScience, Generative Ai, LLM, LangChain, ChatGPT

По рекламе писать @miralinka,
Created by @life2film
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Russian Code Cup снова бросает вызов программистам
https://corp.mail.ru/ru/press/releases/9899/
How to Generate Music with Tensorflow (LIVE)
https://www.youtube.com/watch?v=pg9apmwf7og&feature=em-lss
How to Make a Text Summarizer - Intro to Deep Learning #10
https://www.youtube.com/watch?v=ogrJaOIuBx4
Открытый курс машинного обучения.
Тема 3. Классификация, деревья решений и метод ближайших соседей
https://habrahabr.ru/company/ods/blog/322534/
Новый конкурс на Kaggle - Quora

Where else but Quora can a physicist help a chef with a math problem and get cooking tips in return? Quora is a place to gain and share knowledge—about anything. It’s a platform to ask questions and connect with people who contribute unique insights and quality answers. This empowers people to learn from each other and to better understand the world.

https://www.kaggle.com/c/quora-question-pairs#denoscription
How to Generate Your Own Wikipedia Articles (LIVE)
https://www.youtube.com/watch?v=ZGU5kIG7b2I&feature=em-lss
Face Recognition

Recognize and manipulate faces from Python or from the command line with the world's simplest face recognition library.

Built using dlib's state-of-the-art face recognition built with deep learning. The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark.

This also provides a simple face_recognition command line tool that lets you do face recognition on a folder of images from the command line!

https://github.com/ageitgey/face_recognition
https://www.floydhub.com/

Простой хостинг для DL GPU.
С free тарифом (100 часов?), поддерживает jupyter, своя консольная утилита.

FloydHub is Heroku for DL
Platform-as-a-Service for training and deploying your DL models in the cloud. Start running your first project in < 30 sec! Floyd takes care of the grunt work so you can focus on the core of your problem.
Forwarded from Spark in me
Бойлерплейт для визуализаций на питоне с использованием современных библиотек - увидел по сути одно и то же в 2 разных местах - значит точно полезно:
1 Данные https://goo.gl/YweH4n
2 Подход 1 HTML+ipynb https://goo.gl/CxPPBh + https://goo.gl/Vnzj3I
3 Подход 2 HTML+ipynb https://goo.gl/rdI7hC + https://goo.gl/j5f0Bk