Clipboard manager with advanced features
- clipboard-manager
- clipboard
- cross-platform
- tray
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A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
- machine-learning
- decision-trees
- gradient-boosting
- gbm
MariaDB server is a community developed fork of MySQL server. Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry.
- amazon-web-services
- database
- fulltext-search
- json
The fastest feature-rich C++11/14/17/20/23 single-header testing framework
an efficient feature complete C++ bittorrent implementation
- bittorrent
- cpp
- library
Sol3 (sol2 v3.0) - a C++ <-> Lua API wrapper with advanced features and top notch performance - is here, and it's great! Documentation:
- sol
- lua
- lua-bindings
- lua-binding
CLI11 is a command line parser for C++11 and beyond that provides a rich feature set with a simple and intuitive interface.
- cli-parser
- cpp11
- no-dependencies
- cli
Full-featured MP4 format, MPEG DASH, HLS, CMAF SDK and tools
bsnes is a Super Nintendo (SNES) emulator focused on performance, features, and ease of use.
[INACTIVE] Avian is a lightweight virtual machine and class library designed to provide a useful subset of Java's features, suitable for building self-contained applications.
- java
- jit-compiler
- openjdk
- jvm
Polygonal Surface Reconstruction from Point Clouds (C++ & Python)
- surface-reconstruction
- urban-modeling
- urban-reconstruction
- primitive-extraction
Game Boy / Color engine with lots of features
- game-boy
- gbdk
- game-engine
- gameboy
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
- data-analytics
- data-cleaning
- data-cleansing
- data-engineering
C++20 concurrency framework with no compromises. Excellent performance, powerful features, and simple syntax.
- coroutines
- cpp
- cpp20
- lock-free
Audio features extraction
A full-featured radio automation system targeted for use in professional broadcast and media environments
Full-featured CD/DVD/Blu-ray burning and ripping application
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.
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