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Source channel @githubtrending · Post #14627 · Apr 24
#jupyter_notebook DINOv2 is a powerful AI model from Meta AI that learns to understand images without needing labeled data, using self-supervised learning. It was trained on 142 million images and creates strong visual features that work well for many tasks like image classification, depth estimation, and segmentation without extra fine-tuning. You can use its pretrained models easily with simple classifiers, saving time and effort. DINOv2 is efficient, scalable, and performs better than many other models, making it great for building versatile computer vision applications quickly and accurately. It’s open-source and ready to use with PyTorch. https://github.com/facebookresearch/dinov2
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@repo_science · Post #3110 · 04/28/2023, 07:38 PM
En este tutorial de Marcin Zabłocki, aprenda a implementar cualquier modelo #machinelearning (incluso con funciones personalizadas/preprocesamiento complejo) como una función remota #BigQuery para hacer posible la inferencia del modelo desde SQL. Implementar modelos #MLflow en BigQuery ➡️https://shts.me/C3OB5 ----- Canal principal:@repo_science Cupones: @freecoupons_reposcience -----
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@datasciencejobs · Post #2589 · 03/03/2025, 12:02 PM
#вакансия#DE#dataengineer#DWH#pandas#clickhouse#SQL#BigQuery#AirFlow#DBT#parttime#fulltime#remote Всем привет! Ищу к себе в команду middle/senior-специалиста по data-инжинирингу. Я аналитик, строю аналитические DWH для бизнеса, внедряю сквозную аналитику и создаю дашборды (подробнее в лс). У меня небольшая команда - один специалист на full-time и несколько на фри-лансе. Объем работы по клиентам растет, поэтому ищу еще одного специалиста на part/full-time (от 20 ч в неделю). Необходимый стек: - минимум Python (ООП, Pandas), AirFlow - желательный Python (ООП, Pandas), SQL (ClickHouse/Google BigQuery), AirFlow, DBT Оплата сдельная - от 80 тыс. руб. Формат работы: удаленно Для связи: @isrustam
@githubtrending · Post #14681 · 05/07/2025, 01:00 PM
#typescript#bigquery#cassandra#cockroachdb#database#electron#firebird#linux_app#mac_app#mariadb#mssql#mysql#postgresql#sql#sql_server#sqlite#windows_app Beekeeper Studio is a free, open-source SQL editor and database manager that works on Windows, Mac, and Linux. It supports many databases like MySQL, PostgreSQL, and SQLite. The app offers features like auto-complete SQL queries, syntax highlighting, and a tabbed interface for multitasking. You can sort and filter data, save queries, and even export data in formats like CSV or JSON. It's designed to be easy to use and enjoyable, making database management simpler for everyone. You can download it for free and upgrade to premium features if needed. https://github.com/beekeeper-studio/beekeeper-studio