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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Интересный доклад о вашей активности в социальных сетях. Одна из лекций по кибербезопасности(http://rb.ru/list/14-ted-talks-about-cybersecurity/), где можно узнать не о том, как заклеивать камеру ноутбука, а о том, что данные о вас из социальных сетей можно использовать гораздо эффективнее
Machine Learning Cheat Sheet на 100 страниц
How to Do Style Transfer with Tensorflow
https://www.youtube.com/watch?v=YoBEGQD3LCc&feature=em-lss
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