Tandem paragliding flight logger PWA — pilot portal, office dashboard, 90-minute timers, real-time sync
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Updated
Apr 14, 2026 - HTML
Tandem paragliding flight logger PWA — pilot portal, office dashboard, 90-minute timers, real-time sync
Android + Wear OS application for Tandem Mobi and t:slim X2 insulin pumps
Home Assistant integration for Tandem t:slim X2 insulin pumps. 69 sensors: glucose, insulin delivery, battery, alerts, bolus calculator, CGM statistics, basal profiles. Direct connection to Tandem Source API.
The Github repository include the code for training and predicting levees using Unet, Attention Unet and Swin UNETR deep learning models (Buławka et al...)
Your AI coworker for any folder: local-first, secure by design, cross-platform, and built for supervised automation.
We connect language learners worldwide. Practice and immerse yourself in different languages.
Digital twin playground for Autodesk Tandem & Viewer
Online and offline German learning communities for discussion, support, and collaboration.
a python package for finding tandem repeats from genomic sequences
A physics-based solar farm simulator.
MATLAB code designed to invert tandem aerosol measurements to find two-dimensional size distributions (e.g., CPMA-DMA following Sipkens et al. (2020) or CPMA-SP2 following Naseri et al. (2021)). Formerly mat-2d-aerosol-inversion.
An ultrafast tool for genome-wide survey of microsatellites and primer design
Source code for the manuscript, Mizumoto et al., 2024 Behav Ecol, The strength of sexual signals predicts same-sex pairing in two Coptotermes termites..
Here is the Angular-based version of the LangX application, originally developed using the Ionic Angular framework.
Here is the Flutter-based version of the LangX application, originally developed using the Ionic Angular framework.
Trabalho 1 de Simulação e Métodos Analíticos.
Integration of Dexcom and TSlim Insulin Pump Data with WearOS devices using Tasker and Tasker Plug-Ins
Typing in Tandem. Decentralized, cross-editor, collaborative text-editing!
Learn to combine evolution and backpropagation 🚲
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