Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces.
Directorio de skills
Descubre skills reutilizables para AI agents.
Cada recomendación conserva un vínculo claro con su repositorio, auditoría y ruta de instalación.
Resultados de búsqueda: computational-fluid-dynamics
Directorio en inglésQlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
Create beautiful, publication-quality books and documents from computational content.
A DSL for data-driven computational pipelines
NMA Computational Neuroscience course
Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)
An open source quadruped robot pet framework for developing Boston Dynamics-style four-legged robots that are perfect for STEM, coding & robotics education, IoT robotics applications, AI-enhanced robotics application services, research, and DIY robotics kit development.
VisualHFT is a WPF/C# desktop GUI that shows market microstructure in real time. You can track advanced limit‑order‑book dynamics and execution quality, then use its modular plugins to shape the analysis to your workflow.
Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
A collection of 34 installable agent skills for running computational-chemistry workflows in OpenClaw, with clear documentation and a DOI citation.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Papers on Computational Advertising