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#Mytube#YouTube#Bilibili#Missav#视频下载#NAS#媒体库 📺MyTube - 打造您的私人视频离线媒体库 ㅤ 📝项目简介 MyTube 是一款功能强大的自托管（Self-hosted）视频下载与管理系统。它可以看作是您私人的 YouTube/Bilibili 离线版本。通过简单的 URL，即可将互联网上的视频永久保存到本地，并自动抓取元数据和缩略图，提供优雅的 Web 界面进行管理、播放和归档。非常适合 NAS 用户、内容创作者和“仓鼠党”搭建专属的视频资料库。 ㅤ ✨核心功能 • 全能下载：集成 yt-dlp 内核，支持 YouTube、Bilibili（单集/多P/合集）、MissAV，以及微博、小红书、X (Twitter) 等几乎所有主流视频网站。 • 自动订阅：支持订阅您喜爱的 YouTube/Bilibili 频道，一旦有新视频发布，系统会自动下载入库，无需人工干预。 • 本地媒体库：视频下载后自动生成精美海报墙，支持创建收藏夹、打分、搜索，体验如同本地版 Netflix。 • 高级播放器：内置 Web 播放器，支持倍速、快进/快退、全屏、调光，并可自动下载挂载字幕。 • 云端集成：下载完成后可自动将资源同步上传至云存储（支持 OpenList/Alist）。 • 会员支持：支持上传 cookies.txt，解锁下载有年龄限制或需要会员权限的视频内容。 🔘@TossLab🔘@TossLabChannel

#python#agents#graph#llms#rag Graphiti helps AI systems handle constantly changing information by building real-time knowledge graphs that track relationships and historical data, allowing them to integrate user interactions, business data, and external sources seamlessly. Unlike traditional methods, it updates information instantly without needing full recomputations, enabling precise historical queries and efficient hybrid searches. This helps AI applications stay context-aware, automate tasks effectively, and manage complex, evolving data with minimal delay. https://github.com/getzep/graphiti

http://pybee.org/ #BeeWare is a collection of #projects that can be used to help develop, debug and launch #Python software. Each tool follows the #Unix philosophy of doing one thing well. Each tool can be used in isolation, or they can be chained together to provide a rich set of programming tools.

https://github.com/damonkohler/sl4a #Scripting Layer for Android (SL4A) #SL4A brings scripting languages to #Android by allowing you to edit and execute scripts and interactive interpreters directly on the Android device. These scripts have access to many of the APIs available to full-fledged Android applications, but with a greatly simplified interface that makes it easy to get things done. Scripts can be run interactively in a terminal and in the background. #Python, Perl, JRuby, Lua, BeanShell, JavaScript, Tcl, and shell are currently supported, and we're planning to add more. See the SL4A Video Help playlist on YouTube for various demonstrations of SL4A's features.

#python#large_language_models#machine_learning_systems#natural_language_processing Flash Linear Attention (FLA) is a fast, memory-efficient library for advanced linear attention models used in transformers, written in PyTorch and Triton, and compatible with NVIDIA, AMD, and Intel GPUs. It offers many state-of-the-art linear attention models and fused modules that speed up training and reduce memory use. You can easily replace standard attention layers in your models with FLA’s efficient versions, improving training and inference speed, especially for long sequences. FLA supports hybrid models mixing linear and standard attention, and integrates with Hugging Face Transformers for easy use and evaluation. This helps you train and run large language models faster and with less memory, making your AI projects more efficient and scalable. https://github.com/fla-org/flash-linear-attention

Kompyuter sotib olish bo'yicha to'liq qo'llanma! #videodars / #xarid ℹ️ Dars 3 bo'limga bo'lingan: 1) Kompyuter turini tanlash; 2) Kompyuter bajaradigan vazifalar va bu vazifalarni bajarish uchun kerakli xarakteritikalarni aniqlash; 3) Kompyuter sotib olishda ahamiyat berish kerak bo'lgan qo'shimcha jihatlar; Kompyuter sotib olishni osonroq o'rganish uchun kompyuterlarni 3 turga bo'lib oldik: ofis kompyuterlari (oddiy), universal kompyuterlar va kuchli (igravoy) kompyuterlar ▶️YouTube da ko'rish ⏳: 13:26 💾: 22.2 mb Manba – @kompyuter_akademiyasi 👉🏼Birinchi raqamli Windows Blog | #foydali / #videodars

Video hajmini (istalgancha) kichraytirish #videodars / #media ℹ️ Bugungi darsimizda ko'pchilik obunachilarimiz so'ragan narsani o'rganamiz - video hajmni kichraytirish. 📌 Buning uchun Movavi Video Conventer dasturidan foydalanamiz. Bu dasturni tanlashimizga sabab ushbu dastur boshqalariga qaraganda ancha tushunarli, kerakli hajmni belgilash imkoniyati mavjud va dasturning hajmi ham kichik. ❗️Unutmang! Video hajmi kichrayishi bilan uning sifati ham yomonlashib boradi. Agar siz professional darajada ish tutmoqchi bo'lsangiz video kengaytmalari, konteyner, FPS va boshqa xarakteristikalar bilan tanishib chiqing. ▶️ YouTube da ko'rish ⏳: 03:41 💾: 8.4 MB ©KA Rasmiy 👉🏼Birinchi raqamli Windows Blog | #videodars / #foydali

Servants of the Serpent Goddess (Full Episode) | Kingdom of the Mummies 2023-06-29 by National Geographic #nationalgeographic#natgeo#natgeo#animals#wildlife#science#explore #YouTube#liked

#python#R#aporte#statistics 🧮 Curso avanzado de estadística no parametrica con R y Python ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

#Job#Vacancy#AI#ML#SoftwareEngineering#Remote#CAD#LLM#RAG#Python Middle / Senior AI Engineer (AI/ML & Software Development) 📍 Remote (вне РФ, РБ) | Full-time, long-term 💵Salary range: middle 50k-55k Евро брутто, senior обсуждаемо 💼 Компания: BIT (Bergmann Infotech GmbH) 📩 Контакты: @olgaheinzel Полное описание вакансии уточните в лс О нас: Мы автоматизируем строительные процессы (ConTech) и механоинжиниринг с помощью AI. Уже 7+ лет наши SCRUM-команды создают решения для лидеров Западной Европы. Сейчас строим SaaS нового поколения для CAD-индустрии с использованием LLMs, RAG и агентных workflow. Что делать: 📍Разработка десктопных AI-приложений (Python, PyQt/PySide). 📍Интеграция LLM, RAG и агентов в пользовательские workflow. 📍Создание AI пайплайнов: сбор/подготовка данных, embeddings, fine-tuning, деплой. 📍Совместная работа с продуктовой и dev-командой. Требования: 📍4+ лет опыта в software dev + AI/ML. 📍Python, архитектурные паттерны (SOLID, Clean architecture), ORM (SQLAlchemy+Alembic), базы данных. 📍Опыт с LLMs, RAG, агентами, IR-метриками. 📍Отличные софт-скиллы. Плюсом будет: опыт с CAD, CI/CD, vector DB (Qdrant, FAISS), Azure. Что предлагаем: • Remote • Agile-команда, рост вместе с компанией. • Ownership, гибкий график, обучение. Процесс найма: HR → тестовое/тех. интервью → CEO/Product Owner → оффер.

#Python#Django#PostgreSQL 🐍 Building Web Applications with Django and PostgreSQL This course is designed to provide you with a comprehensive understanding of how to develop web applications using the Django web framework in combination with the PostgreSQL database. Django is a popular web framework written in Python that allows developers to build robust and scalable web applications quickly and efficiently, while PostgreSQL is a powerful open-source relational database management system known for its reliability and performance. 📅 4/2023 🔗Link ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

#operatsion_tizim 🗜WinRAR yordamida faylni qismlarga bo‘lish Ba’zida katta faylni biror joyga, masalan, elektron pochta, Telegram va boshqa xizmatlar orqali yuborish uchun bir xil o‘lchamdagi bir nechta qismga bo‘lishga to‘g‘ri keladi. WinRAR ushbu vazifani a’lo darajada bajaradi. Buning uchun bajariladigan qadamlar quyidagicha: 1️⃣. Kerakli fayl ustiga sichqonchaning o‘ng tugmasini bosing va ochiluvchi menyudan “Добавить в архив…” bandini tanlang. 2️⃣. “Общие” varaqa (вкладка)sidagi “Разделить на тома размером” maydonida joriy fayl ajratilishi lozim bo‘lgan qismlar hajmini kiriting. 3️⃣. O‘z soningiz va o‘lchov birligingizni kiriting (bayt, kilobayt, megabayt yoki gigabayt), yoki ochiluvchi ro‘yxatda keltirilgan eng mashhur qiymatlar orasidan birini tanlang. 4️⃣. “OK” tugmasini bosish orqali yuqoridagi harakatlaringizni tasdiqlang. Agar arxivlash oynasidagi parametrlarda ushbu arxivning saqlanish joyini uchun manzilni o‘zgartirmagan bo‘lsangiz, papka tarkibidagi joriy faylning yonida faylning ajratilgan qismlari paydo bo‘ladi. So‘nggisidan tashqari qolgan barcha qism (том)lar bir xil o‘lchamda bo‘ladi. Yaratilgan joriy arxiv faylning tarkibini ko‘rish yoki uni qayta siqilgan holatidan qayta yaxlit fayl holatiga ajratib olish uchun, nomlanishining oxirida “part1” bilan tugagan qism (том)ning ustiga ikki marta bosib oynani ishga tushirish lozim. Fayl qayta yaxlit holatiga tiklanishi uchun faylning barcha qism (том)lari bir papka tarkibida joylashtirilishi shart. 📝 Manba:@itspecuz 👉🏼Birinchi raqamli Windows Blog | #fayl / #foydali