HealthyPi is the first fully open-source, full-featured vital sign monitor. Using the Raspberry Pi as its computing and display platform, the HealthyPi add-on HAT turns the Raspberry Pi into a vital sign monitoring system.
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Rolisteam is a virtual tabletop. It helps you to manage tabletop role playing games with remote friends/players. It provides many features to share maps, pictures, dice roller, manage background music and much more. The main git repository is available here: [https://invent.kde.org/kde/rolisteam].
- rpg
- jdr
- rpg-tool
- c-plus-plus
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
- cancer-imaging-research
- radiomics
- radiomics-features
- machine-learning
A 2D game engine developed in modern C++ using SDL, an Entity-Component-System (ECS) architecture, miniaudio, and Box2D. It features Lua scripting and is designed for web portability via WebAssembly
Implement a Linux gateway that reads serial port ( USB, serial , bluetooth) commands and transfers to MQTT host. MQTT without ethernet or Wifi on a low cost micocontroller. Don't develop a serial command interface , just use MQTT UI's and features.
Overlay for Game Boy Printer emulator with e-paper feature and complete support, hints and savestates for the 110 compatible games !
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
- svm
- regression
- classification
- machine-learning
User-friendly and fully-featured IRC client
Application to extract features from plant root images