A notice field that is only visible in the drawer.
- directus
- directus-extension
- directus-extension-interface
47,133 repositories indexed
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A notice field that is only visible in the drawer.
A Go project to explore the math to calculate and present data in a map using the `Web Mercator Projection`
A robust & optimized ES3-compatible polyfill for the `RegExp.prototype.match` method in ECMAScript 6.
OpenStreetMap tile server
MicroPython examples using TTP223 capacitive touch module
SLIME extension for Lisp Critic
Accesses parasite occurrence records from the London Natural History Museum's Host-Parasite database, which contains over a quarter of a million helminth records.
Neovim themes derived from Savitsky Museum paintings
A Micropython module for communicating with the Bosch BME280 temperature, humidity, and pressure sensor.
Libreria para camara OV2640 con MicroPython
async/await extension for Parenscript
This is a Micropython driver for the VL6180X sensor on the ESP32
Always single line, comment sensitive, indentation preserving commenting.
A small and simple tool to resolve timestamps to replication numbers used on http://planet.osm.org/replication/ (see http://wiki.openstreetmap.org/wiki/Planet.osm/diffs for mor information)
Sitecore PowerShell Extensions - The Book
A Visual Studio for Mac extension that breaks down how code is distributed between projects in a solution.
An easy to install pyATS extension for Gemini CLI
Feature-rich filesystem mocking for Go tests: comprehensive error injection, latency simulation, write operations, operation statistics, and standalone file handles. Built on testing/fstest.MapFS with comprehensive fs.FS interface support.
Products extension for Refinery CMS
Log weather data from LM35 temperature sensor using Meadow, Blazor, and Web API
Support for In-App Purchase
Open Street Map Public Transport Parser
JMeter Backend to store metrics in New Relic
DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.