✦ ⎯ • Dynamic keyboard-aware tray 📚 🔗 Github:

✦ ⎯ • Dynamic Island style in app notifications... 🔗 Github:show more

✦ ⎯ • Smooth morphing toasts 🔗 Github:

🚀 Native content transitions for React Native + Expo.... 🔗 Github:show more

❄️ Native blur views for React Native + Expo.... 🔗 Github:show more

🚀 A customizable native iOS tab bar, built on... UISegmentedControl. 🔗 Github:show more

We love our keyboard shortcuts. What's your favorite?

MoVieS Motion-Aware 4D Dynamic View Synthesis in One Second

A set of animated React Native components. 🔗・

Shannon: Fully autonomous AI hacker to find actual exploits... in your web apps. Shannon has achieved a 96.15% success rate on the hint-free, source-aware XBOW Benchmark. GitHub: Features: ▪️Fully Autonomous Operation ▪️Pentester-Grade Reports with Reproducible Exploits ▪️Critical OWASP Vulnerability Coverage ▪️Code-Aware Dynamic Testing ▪️Powered by Integrated Security Tools ▪️Parallel Processing for Faster Resultsshow more

[🎥] 책방소녀📚 🔗 🔗 🔗 #Billlie #빌리 #TSUKI #츠키

[🎥] 빌리네 책방소녀📚 🔗 🔗 🔗 #Billlie #빌리 #SHEON #션

Introducing visual-json > JSON editing with human-first ergonomics –... Minimalist – Embeddable – Schema-aware – Extensible – Drag and drop – Keyboard navigation – Tree view to drill into deeply nested datashow more

WildGS-SLAM: Monocular Gaussian Splatting SLAM in Dynamic Environments TL;DR:... We present WildGS-SLAM, a robust monocular RGB SLAM system. - Utilizes uncertainty-aware tracking and mapping to handle dynamic scenes. - Leverages DINOv2-based uncertainty maps for dynamic object removal. - Improves tracking and mapping. - Enables high-quality view synthesis.show more

Weibo 📚 YOURS : ความเท่มาไม่หยุดเลยจ้าาาา 😎 🔗 #BuildJakapan BIU. #Beyourluve

The new Catalyst UI kit by Tailwind CSS is... perfect for building SaaS dashboards: ◆ Device-aware dialogs (modal on desktop, drawer on mobile) ◆ Beautiful select menus & tables ◆ a11y-first (keyboard & screen reader friendly) →show more

MoE-GS: Mixture of Experts for Dynamic Gaussian Splatting Contributions:... • MoE-GS: the first dynamic Gaussian splatting framework employing a Mixture-of-Experts architecture, enabling robust and adaptive reconstruction across diverse dynamic scenes. • A novel Volume-aware Pixel Router integrates expert outputs through differentiable weight splatting, achieving spatially and temporally coherent adaptive blending. • Efficiency of MoE-GS is improved through single-pass multi-expert rendering and gate-aware Gaussian pruning. A separate knowledge distillation strategy trains individual experts with pseudo-labels from the MoE model, enhancing quality without modifying the architecture.show more

📚MAGAZINE YEPME x BUILD ~ อบอุ่นนนละมุนสุดๆเลยงับบ ใครไม่มีพลาดไม่ได้แล้วน้าา หล่อน่ารักขนาดนี้ 🔗... #BuildJakapan BIU. #Beyourluveshow more

The Ronin Ecosystem Directory is LIVE! • Browse top... dApps and games • Vote for YOUR favorite projects • Devs: submit a PR on Github to get listed Building on Ronin? Submit your project via GitHub and get featured 👇 🔗 :show more