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Изворен канал @pythonotes · Post #272 · 14 јул.
Наверняка у многих возникло желание потестить отправку сообщений, но Redis не установлен и вообще непонятно как с ним быть. На самом деле запустить его очень просто. 🔸 Для Windows, качаем архив, запускаем redis-server.exe 🔸 Для Linux несколько команд 🔸 Если есть Docker, то еще проще docker run --rm -p 6379:6379 redis Всё, можно экспериментировать! ______________________ А еще с сервером можно поиграть в пинг-понг > redis-cli ping PONG #tricks#libs#linux
Пребарај: #automl
@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