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Изворен канал @pythonotes · Post #193 · 23 дек.

Для тех кто пропустил релиз Qt6! PySide6 уже доступен! Для старта можно взять эти странички: https://wiki.qt.io/Qt_for_Python https://doc.qt.io/qtforpython/ https://doc.qt.io/qtforpython/tutorials/index.html Там же есть ссылка на репозиторий примеров https://code.qt.io/cgit/pyside/pyside-setup.git/tree/examples #qt

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@repo_science · Post #3807 · 19.12.2023 г., 05:08

#AutoML 🐍 AutoML: Build Production-Ready Models Quickly! Learn the basics of building production-ready automated machine learning (AutoML) models. ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

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@githubtrending · Post #14863 · 24.06.2025 г., 13:30

#other#automl#chatgpt#data_analysis#data_science#data_visualization#data_visualizations#deep_learning#gpt#gpt_3#jax#keras#machine_learning#ml#nlp#python#pytorch#scikit_learn#tensorflow#transformer This is a comprehensive, regularly updated list of 920 top open-source Python machine learning libraries, organized into 34 categories like frameworks, data visualization, NLP, image processing, and more. Each project is ranked by quality using GitHub and package manager metrics, helping you find the best tools for your needs. Popular libraries like TensorFlow, PyTorch, scikit-learn, and Hugging Face transformers are included, along with specialized ones for time series, reinforcement learning, and model interpretability. This resource saves you time by guiding you to high-quality, actively maintained libraries for building, optimizing, and deploying machine learning models efficiently. https://github.com/ml-tooling/best-of-ml-python