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Source channel @githubtrending · Post #15365 · Dec 24

#jupyter_notebook DINOv3 offers powerful self-supervised vision models from Meta AI, like ViT up to 7B parameters and ConvNeXt, pretrained on 1.7B web or satellite images. Load them easily via PyTorch Hub, Hugging Face Transformers (v4.56+), or timm (v1.0.20+), with code examples for features, depth, detection, and segmentation. You benefit by using these top-performing, dense features without fine-tuning or labels—saving time and compute for tasks like classification, object detection, and zero-shot analysis on your images. https://github.com/facebookresearch/dinov3

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DSR Corporation News

@dsr_news · Post #1036 · 06/19/2025, 09:18 AM

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❓Интересуешься внедрением DI в Kotlin-скрипты и хочешь избежать tight coupling? Мы подробно разобрали это в свежей статье на Medium — ‘Keep your scripts decoupled: flexible and safe dependency injection for Kotlin Scripts’! Наши инженеры: Игорь Покотило, Senior Software Engineer, и Константин Некрасов, Principal Software Engineer рассказывают: ✅ как внедрить DI в скрипты так, чтобы не переписывать их при развитии приложения ✅ как использовать Spring IoC ✅ и как при этом не завязать бизнес-логику на инфраструктуру 📖 Читать: ссылка ✍️ Статья на английском языке #Kotlin#DependencyInjection#BackendDevelopment

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Repositorio data science

@repo_science · Post #4259 · 12/08/2025, 03:46 AM

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#SpringBoot#RESTAPI#BackendDevelopment#CodeWithMosh#Java#StripeIntegration#CloudDeployment#LearnToCode 🚀 Ready to take your backend skills to the next level? 🔗Spring Boot: Mastering REST API Development🎓 - Learn to build clean, secure RESTful APIs - Add authentication, role-based access, and JWT security 🔒 - Integrate Stripe for real payment processing 💳 - Deploy your app and database to the cloud ☁️ - Apply industry best practices for production-ready code 🛠 👉 Join now @repo_science and start building real-world projects like a pro!

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