Search Results for "optimization"

UI Skills is a curated collection of skills designed to help AI agents and tools automatically improve user interfaces by applying best-practice adjustments and fixes, making frontend workflows more reliable and performant. It provides a suite of modular routines that can be added to an AI agent’s pipeline so that interfaces are polished for accessibility, metadata correctness, performance, and visual consistency without requiring manual tweaking for each change. The project includes skills...

Hummingbird is a component system for Tailwind developers who care about architectural discipline. It ensures global design control with local utility flexibility. Hummingbird is a lightweight, framework-agnostic tool that integrates seamlessly with modern stacks and helps build scalable, maintainable web applications without extra weight.

Bring your UX to life with AI-powered optimization and personalization. Coframe brings the content of your app or website to life through AI-powered optimization, personalization, and overall self-improvement. It takes minutes to integrate, and the ROI is clear to measure. Your website or app gains self-enhancing abilities with Coframe, learning from real-world performance. It's A/B testing, but with a serious upgrade.

ATLAS mPBPK is a MATLAb-based tool for modeling and Simulation of minimal Physiology Based Pharmacokinetic (mPBPK) models of small and large molecules. The tool enables the users to perform: i) PK data visualization, ii) simulation, iii) parameter optimization, and iv) local sensitivity analysis (SA) of mPBPK models in a simple and efficient manner.

The open source Material Design Douban client. Among all people who directly access Douban, the most common and consistent usage is around ratings, comments, discoveries, and discussions around movies, TV, books, records, and events (what we call "items"). We will use the ratings and comments that are synchronized with the website as a starting point and basis to reconstruct the discovery and discussion around personal interests on the mobile phone. Douban is never a single website, and the...

...Key inference approaches include full Bayesian inference via Hamiltonian Monte Carlo (specifically the No-U-Turn Sampler, NUTS), approximate Bayesian inference via variational methods, and optimization (penalized likelihood). RStan integrates with Stan’s automatic differentiation library, provides diagnostics, model comparison, posterior predictive checks, etc. It is used in research, applied statistics, and modelling workflows where flexibility and rigor in Bayesian methods are required.