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소스 채널 @phpdevelopersuz · Post #2421 · 4월 26일

TON hamyonining Telegram mijoziga integratsiyasi WebApp-botlari tufayli @wallet xizmati hamyonni Telegram mijozlari investitsiyalariga integratsiyalashni amalga oshirdi. Endi siz Toncoin kriptovalyutasini foydalanuvchilarga bevosita messenjerdan o‘tkazishingiz mumkin. Uzoq hamyon manzillarisiz, komissiyalarsiz va tranzaksiyani tasdiqlashni kutmasdan. Avvalroq @tginfoyozganidek, ehtimol, butun veb-bot platformasi TON Coin'ning Telegram bilan integratsiyalashuvi uchun maxsus yaratilgan. Hamyonni integratsiyalash: t.me/wallet?attach=wallet TonCoin haqida batafsil: @toncoin_uz #ton#wallet#kriptovalyuta 💚@TGraphUz | YouTube

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@repo_science · Post #3807 · 2023. 12. 19. AM 05:08

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@githubtrending · Post #14863 · 2025. 06. 24. PM 01:30

#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