Search Results for "classification"

Turf is a JavaScript library for spatial analysis. It includes traditional spatial operations, helper functions for creating GeoJSON data, and data classification and statistics tools. Turf can be added to your website as a client-side plugin, or you can run Turf server-side with Node.js. Modular, simple-to-understand JavaScript functions that speak GeoJSON. Turf is a collection of small modules, you only need to take what you want to use. Takes advantage of the newest algorithms and doesn't require you to send data to a server. ...

MBR WP Performance is the WordPress optimisation plugin for users who want real control. Instead of hiding complexity behind a single button, it provides transparent, granular controls for every performance technique—so you understand exactly what each feature does. Core Features: Disable WordPress features that you don’t need. Self-host and preload Google Fonts, lazy load images and videos, defer/delay JavaScript execution, generate and inline critical CSS, preload critical resources,...

...It also highlights privacy-aware patterns and cautions that this kind of software must not replace licensed medical advice. As a teaching and ideation vehicle, the project invites contributors to iterate on intent classification, response templates, and safe-use boundaries.

CollectionViewClassifyMenu is an Objective-C iOS demo project that builds categorized menus using UICollectionView. It demonstrates a two-level classification menu where the second-level menu can collapse and expand. The project also includes a sidebar-style menu with multi-select behavior for filtering choices. It supports persistence of selected filter conditions, so the app can remember the user’s previous menu state after reopening. The demo uses NSCoding for saving filter data and includes a way to clear saved settings at launch. ...

...Dynamic-GRLVQ (DGRLVQ), which adapts the model complexity to the given problem during training by adding or removing prototypes dynamically/realtime one by one for each category until satisfactory classification results are achieved.