@repo_science · Post #3815 · 25.12.2023, 18:49
#R#Python#estadistica#bayesiana#aporte 📓 Curso avanzado de estadistica bayesiana con Python ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----
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Источник @procode404 · Post #3608 · 14 июн.
⌨️ Учимся писать графический интерфейс на Python Плейлист из 11 видео, по которым вы научитесь работать со всеми базовыми компонентами десктоп интерфейса. Использовать вы будете Python и библиотеку для работы с интерфейсом Qt5. 1. Программа для скачивания видео с YouTube [6:30] 2. Удалённый рабочий стол [21:22] 3. Чат с графическим интерфейсом [22:47] 4. Создаём форму для регистрации [9:01] 5. Распознавание речи с графическим интерфейсом [22:47] 6. Работа с буфером обмена [4:03] #python#ui
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@repo_science · Post #3815 · 25.12.2023, 18:49
#R#Python#estadistica#bayesiana#aporte 📓 Curso avanzado de estadistica bayesiana con Python ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----
@githubtrending · Post #14682 · 07.05.2025, 13:30
#kotlin#android#awt#compose#declarative_ui#desktop#gui#ios#javascript#kotlin#multiplatform#reactive#swing#ui#wasm#web#webassembly Compose Multiplatform is a Kotlin-based framework by JetBrains that lets you build user interfaces for multiple platforms—iOS, Android, desktop (Windows, macOS, Linux), and web—using mostly shared code. It is based on Jetpack Compose for Android, so you can use similar APIs across platforms, speeding up development and ensuring consistent UI design. iOS support is in beta, web is in alpha, and desktop and Android are stable. You can also access native features like camera or maps easily. This helps you save time, reduce bugs, and create apps that work well everywhere with less effort. https://github.com/JetBrains/compose-multiplatform
@githubtrending · Post #15400 · 08.01.2026, 11:30
#python#large_language_models#llms#long_video_understanding#multi_modal_llms#rag#retrieval_augmented_generation Vimo is a desktop app that lets me chat with any video, from short clips to hundreds of hours, in simple natural language. I can drag and drop videos, ask questions, find exact moments, compare multiple videos, and export useful insights, all on macOS, Windows, or Linux. Powering this is the VideoRAG algorithm, which deeply understands visual, audio, and contextual information, giving accurate answers even for very long videos. This helps me save time, understand complex content faster, and turn large video libraries into searchable, usable knowledge. https://github.com/HKUDS/VideoRAG
@datasciencejobs · Post #2226 · 22.07.2024, 18:04
#вакансия#ds Мы в Циан 🏘 ищем сильного Senior Data Scientist-а в команду CRM. Локация - Полная удаленка внутри РФ. Если есть желание ходить в офис, у нас есть замечательные современные офисы в Москве, Питере и Новосибе. Вилка - от 350 до 500 гросс, готовы обсуждать О нас В Циан большая команда ML. В команде настроены процессы перфоманс ревью, регулярного обмена опытом, выделяем время на исследовательскую работу! Команда CRM занимается прямыми коммуникациями с клиентами (пуши, емейлы, смски и тд) Наш стек ● Python (Numpy, SciPy, Pandas, sklearn, PyTorch); ● Экосистема Hadoop (PySpark, Hive, Kafka); ● Airflow; Задачи: ● Повышение эффективности пуш-уведомлений, емейлов и других каналов прямых коммуникаций с клиентами; ● Оптимизация коммуникационной нагрузки, выбор оптимального канала коммуникации, выбор оптимального времени отправки; Требования к кандидату ● Опыт: Не менее 3х лет релевантного опыта на позиции DS в продуктовой компании ● Python: пишет легко читаемый и поддерживаемый код ● SQL (оконные функции, оптимизация запросов) ● Apache стек: HDFS/Kafka/Spark (DF API) ● Классический ML: бустинги, линейные модели. ● Базовые знания в NLP и CV: трансформеры, TF-IDF ● DL: PyTorch. Плюшки: ДМС с первого дня (стоматология, госпитализация, полис ВЗР), Кафетерий льгот Benefactory, 5 day off в год, помимо основного отпуска. Пишите в ЛС рекрутеру / мне (@DANAlina95 / @kgavrilchik) или скидывайте свои резюме на [email protected] #Python#Numpy#SciPy#Pandas#sklearn#PyTorch#Hadoop#PySpark#Hive#Kafka#Airflow
@djangoproject · Post #130 · 31.08.2016, 15:39
http://matplotlib.org/ #matplotlib is a python #2D#plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in #python scripts, the python and #ipython shell (ala MATLAB®* or Mathematica®†), web application servers, and six #graphical user interface toolkits. screenshots
@KartInfoTW · Post #271 · 11.08.2021, 10:00
韓服本周更新,跑跑 17 周年慶祝活動推出,新角色嬰兒藍寶/痞子妹/丫肥登場,還有 ShowTime 派對、600% 加成活動, 韓國主題「仁川」、「濟州」賽道推出,其中仁川賽道還和 Paridise City 合作,參加賽道截圖活動就有機會抽到免費住宿券! 🔥 更新詳情:https://kinf.cc/5vNZT ▶️ 追蹤 Google 新聞:https://kinf.cc/gn ▶️ 立即加入 Discord:https://kinf.cc/dc #跑跑卡丁車#KartRider#韓國#Korea#新賽道#仁川#濟州#ParidiseCity#파라다이스시티#周年#17周年#生日#GP賽#GrandPrix#無限氮氣#幸運輪盤#HotTime#ShowTime#彩虹活動#計時賽#整合速度#新系統#UI#隱藏#道具#攻擊#資訊
@KartInfoTW · Post #507 · 07.06.2023, 09:59
跨時代的道具功能改革即將登場 👀 🎯 更新詳情:https://kinf.cc/f7X5O ▶️ 追蹤 Google 新聞:https://kinf.cc/gn ▶️ 立即加入 Discord:https://kinf.cc/dc #跑跑卡丁車#KartRider#跑跑飄移#KartDrift#更新預告#車輛#模型#道具#平衡#電波#磁鐵#天使#機率#使用記錄#特效#氣球#稀有#車貼#商城#社群#自訂遊戲#UI#優化#尾流#BUG
@githubtrending · Post #15387 · 04.01.2026, 11:30
#python#crawler#feapder#feaplat#python#scrapy#spider Feapder is a simple, powerful Python web scraping framework (Python 3.6+) with four spider types for different needs, plus breakpoint resuming, monitoring alerts, browser rendering, and massive data deduplication. Install easily via pip (basic, render, or full versions), create a spider with one command, and run it to fetch/parse sites like Baidu. A management system handles deployment/scheduling. This saves you time by making scraping fast, reliable, and scalable without building everything from scratch. https://github.com/Boris-code/feapder
@githubtrending · Post #15042 · 09.08.2025, 12:00
#python#assistant#learning#note_taking#notebook#notes_app#self_learning Open Notebook is a free, open-source tool that helps you organize and control your research privately without relying on big companies like Google. It supports many AI providers, lets you manage different content types like PDFs and videos, and even create professional multi-speaker podcasts. You can search your notes smartly, chat with AI using your own research as context, and customize everything to fit your needs. It runs on your own computer or cloud, so you keep full control of your data and costs. This means you get a powerful, flexible, and private research assistant tailored to you. https://github.com/lfnovo/open-notebook
@githubtrending · Post #14825 · 12.06.2025, 12:30
#python#evaluation_framework#evaluation_metrics#llm_evaluation#llm_evaluation_framework#llm_evaluation_metrics DeepEval is an open-source tool that makes it easy to test and improve large language model (LLM) applications, much like how Pytest works for regular software, but focused on LLM outputs. It offers over 30 ready-to-use metrics—such as answer relevancy, faithfulness, and hallucination—to check if your LLM is accurate, safe, and reliable. You can test your whole application or just parts of it, and even generate synthetic data for better testing. DeepEval works locally or in the cloud, letting you compare results, share reports, and keep improving your models. This helps you build better, safer, and more trustworthy LLM apps with less effort[1][2][3]. https://github.com/confident-ai/deepeval
@githubtrending · Post #15178 · 28.09.2025, 11:30
#python#gregtech#minecraft#modpack#quests#thaumcraft GT New Horizons is a very large and challenging Minecraft modpack focused on GregTech, offering a deep, progressive experience starting from the Stone Age and advancing through technology tiers like steam and electricity, eventually exploring other planets and dimensions. It includes over 3000 quests that guide you through complex tech, magic, and exploration, making the game feel like one connected adventure rather than separate mods. The pack features realistic world generation, tough survival conditions, and a mix of technology and magic mods, providing a long-lasting, rewarding gameplay for players who enjoy expert-level challenges and detailed crafting systems[1][2][3]. This benefits you by offering a rich, immersive Minecraft experience that grows with your skills and keeps you engaged for a long time. https://github.com/GTNewHorizons/GT-New-Horizons-Modpack
@githubtrending · Post #15123 · 06.09.2025, 11:30
#rust#artificial_intelligence#big_data#data_engineering#distributed_computing#machine_learning#multimodal#python#rust Daft is a powerful, easy-to-use data engine that lets you process large-scale data using Python or SQL with high speed and efficiency. It supports complex data types like images and tensors, works well interactively for quick data exploration, and can scale to huge cloud clusters using Ray. Daft integrates smoothly with cloud storage and data catalogs, making it ideal for data engineering, analytics, and machine learning workflows. By using Daft, you can handle big, multimodal datasets faster and more flexibly, improving your ability to analyze and prepare data for AI models without complex setup or slowdowns. https://github.com/Eventual-Inc/Daft