#cplusplus

YimMenuV2 is a mod menu for GTA 5 Enhanced that lets you add new features and options to your game. To use it, download FSL (for extra safety), YimMenuV2, and an injector like Xenos, then place the right files in your GTA V folder and disable BattlEye before launching the game. Once in the main menu, inject YimMenuV2 and press INSERT or Ctrl+\ to open the menu. This gives you more control and fun in the game, but be careful—using mods online can get you banned, so it’s best for private or story mode play[1][3][5].

https://github.com/YimMenu/YimMenuV2

#cplusplus

The LEGO Island portable project recreates the original LEGO Island game (version 1.1, English) so it can run on many platforms like Windows, Linux, macOS, and even the web, without changing the gameplay or adding new features. It replaces Windows-only parts with cross-platform libraries like SDL3 to make the game work smoothly on different systems. You need an original copy of LEGO Island to use it, and while developer builds exist, user-friendly versions are still being made. This means you can enjoy the classic LEGO Island game on modern devices and operating systems that it wasn’t originally designed for, preserving the nostalgic experience across platforms[2].

https://github.com/isledecomp/isle-portable

#cplusplus #arduino #cansat #csv #embedded #graph #ground_station #iot #microcontroller #network #projects #qt #serial #serial_studio

Serial Studio is a free, easy-to-use tool that lets you visualize real-time data from devices like microcontrollers via serial ports, Bluetooth, or network connections. It works on Windows, macOS, and Linux, and offers customizable dashboards with various widgets to monitor sensor data, debug info, or telemetry. You can quickly plot data, export it as CSV for analysis, and even use advanced features like checksum validation and JavaScript data processing. It supports hobbyists, educators, and professionals by simplifying data monitoring and debugging, saving you time and effort in understanding your device’s output. Pro versions add commercial use and extra features[1][4][5].

https://github.com/Serial-Studio/Serial-Studio

#cplusplus #cpp #hacktoberfest #iot #iot_device #iot_edge #microcontroller #microsoft_for_beginners #python #raspberry_pi #rpi

You can learn the basics of the Internet of Things (IoT) through a free 12-week course with 24 lessons that guide you step-by-step in building real projects like plant monitoring, vehicle tracking, and smart cooking timers. Each lesson includes quizzes, instructions, challenges, and solutions to help you understand sensors, cloud connections, security, and AI on devices. The course uses real hardware or virtual options, making it easy to practice hands-on skills. This project-based learning helps you gain practical IoT knowledge useful for many industries, improving your tech skills and job readiness.

https://github.com/microsoft/IoT-For-Beginners

#cplusplus #compaction #database #distributed_database #kvstore #nosql #rocksdb

ToplingDB is a faster and more advanced key-value database built on RocksDB, designed for better performance and flexibility. It supports easy configuration through JSON/YAML, has an embedded web server to monitor and change settings without restarting, and improves speed with features like faster transaction locks and concurrent IO. It also offers plugins for enhanced functions and cloud-native services like MySQL and Redis on ToplingDB. This means you get a powerful, efficient database that is easier to manage and scales well for large or distributed systems, saving you time and improving your application's speed and reliability.

https://github.com/topling/toplingdb

#cplusplus #aes #avx #avx_instructions #chrome #chrome_devtools #chromedriver #chromium #chromium_browser #content_shell #jpeg_xl #jpegxl #jxl #libjxl #linux #thorium #thorium_browser #thoriumos #web_browser #web_platform #webbrowser

Thorium is a fast, optimized web browser based on Chromium, designed to work well on modern CPUs with advanced instruction sets like AVX and SSE4. It offers better performance than standard Chromium and Chrome, opening tabs and rendering pages quickly. Thorium includes enhanced privacy features such as DNS over HTTPS and Do Not Track enabled by default, plus support for modern media formats like HEVC and JPEG XL. It keeps the familiar Chrome interface and supports all Chrome extensions, making it easy to switch. Available on Windows, Linux, macOS, Android, and Raspberry Pi, it suits users wanting speed, privacy, and compatibility across devices[3][5][1].

https://github.com/Alex313031/thorium

#cplusplus #bindings #python

**pybind11** is a tool that helps connect C++ and Python. It allows you to use C++ code in Python and vice versa. This means you can take advantage of C++'s speed and Python's ease of use. **pybind11** is lightweight and easy to use, making it simpler to create Python bindings for C++ code compared to older tools like Boost.Python. It supports many C++ features and works on multiple platforms, including Windows, Linux, and macOS. Using **pybind11** can make your programs smaller and faster to compile.

https://github.com/pybind/pybind11

#cplusplus #android_auto #android_automotive #headunit #wireless_android_auto

You can turn your car’s wired Android Auto into wireless using a Raspberry Pi and a special software called Wireless Android Auto Dongle. This DIY adapter connects your phone to the car wirelessly via Bluetooth and Wi-Fi, without needing extra apps on your phone. It works with several Raspberry Pi models and boots up quickly, connecting in under 30 seconds. After the first setup, it automatically connects every time you start your car, making your Android Auto experience seamless and cable-free. This saves you from plugging in your phone every time and keeps your car’s infotainment system working smoothly[1][2][3].

https://github.com/nisargjhaveri/WirelessAndroidAutoDongle

#cplusplus #artificial_intelligence #cloud #cloud_native #cncf #container #docker #edge_computing #ewasm #hacktoberfest #hacktoberfest2023 #kubernetes #rust_lang #serverless #wasm #webassembly

WasmEdge is a fast, lightweight, and secure WebAssembly runtime that lets you run programs safely on your devices, servers, or the cloud. It supports many programming languages like C++, Rust, and JavaScript, and can run AI models, microservices, and smart contracts efficiently. WasmEdge offers strong security by isolating programs, making it great for extending software safely. It works well on edge devices, smart devices, and cloud environments, and supports easy integration with tools like Kubernetes and Docker. Using WasmEdge helps you run powerful applications faster, safer, and more flexibly on various platforms[1][2][3][4][5].

https://github.com/WasmEdge/WasmEdge

#cplusplus

ik_llama.cpp is an improved version of llama.cpp that runs faster on CPUs and hybrid GPU/CPU setups. It supports many new advanced quantization methods, which help models use less memory and run more efficiently. It also offers better performance for special models like DeepSeek and MoE, with faster prompt processing and token generation. You can run it on various hardware, including Android, and it has features to control where model data is stored (CPU or GPU). This means you get quicker AI responses and can handle bigger or more complex models smoothly on your computer or device[2][1][4].

https://github.com/ikawrakow/ik_llama.cpp

#cplusplus #ai_chat #llm_inference

GPT4All lets you run powerful AI language models directly on your own computer without needing internet, cloud services, or special GPUs. This means your data stays private and secure because nothing leaves your device. You can chat with the AI, ask questions, summarize documents, write code, or create content anytime, even offline. It works on Windows, macOS, and Linux with easy installation and supports many popular AI models. You can also customize it and use it with Python or other tools. This gives you full control, privacy, and flexibility for AI tasks without extra costs or dependencies.

https://github.com/nomic-ai/gpt4all

#cplusplus #controller #gamepad #gamepad_api #games #gaming #keyboard_emulation

AntiMicroX lets you use a gamepad to control your computer by mapping gamepad buttons to keyboard keys, mouse actions, scripts, or macros. It works on Linux and Windows, supports many gamepads, and allows you to create multiple profiles for different apps or games. This makes it easier to play games that don’t support controllers or to control desktop apps with a gamepad, improving comfort and accessibility. You can install it easily on various systems, including Windows, Linux (via Flatpak, AppImage, or package managers), and customize it to fit your needs. It’s open-source and free to use.

https://github.com/AntiMicroX/antimicrox

#cplusplus

This project helps you fix batteries that get locked by their Battery Management System (BMS) when it detects a fault, which sometimes happens by mistake or after the problem is fixed. Instead of throwing away a good battery, you can use open-source tools to reset the lock and save money. You set up an Arduino device and software on your computer (either a simple Windows program or Python-based) to communicate with the battery and unlock it. This way, you can repair and reuse batteries that would otherwise be wasted, reducing costs and environmental impact.

https://github.com/mnh-jansson/open-battery-information

#cplusplus

Monad is a fast, scalable Layer 1 blockchain fully compatible with Ethereum's EVM, allowing you to run Ethereum smart contracts without changes. It improves speed by separating consensus (agreement on transaction order) from execution (processing transactions), enabling parallel transaction execution and reaching 10,000 transactions per second with 1-second finality. Monad uses a custom EVM and a special database (MonadDb) optimized for parallel state access, reducing delays. This means you get much faster, cheaper transactions while keeping Ethereum compatibility, making it easier for developers and users to adopt and benefit from high performance and scalability.

https://github.com/category-labs/monad

#cplusplus #c_plus_plus #cpp #datachannel #libdatachannel #libnice #p2p #peer_to_peer #peerconnection #rfc_8831 #rfc_8834 #rtcdatachannel #rtcpeerconnection #sctp #webrtc #webrtc_datachannel #webrtc_video #websocket

libdatachannel is a lightweight, easy-to-use C/C++ library that lets you add real-time peer-to-peer data, media, and WebSocket communication to your apps across many platforms like Linux, Windows, macOS, Android, and iOS. It simplifies WebRTC by providing a smaller, simpler alternative to Google's library, with compatibility for browsers like Firefox and Chrome. You can use it to connect native apps directly to web browsers with minimal dependencies, supporting secure connections via GnuTLS, Mbed TLS, or OpenSSL. It also supports compiling to WebAssembly for browser use, making it flexible for cross-platform real-time communication development[1][4]. This helps you build fast, efficient apps for video, audio, or data sharing without heavy libraries.

https://github.com/paullouisageneau/libdatachannel

#cplusplus

Media Downloader is a user-friendly program that helps you download videos and playlists from many websites using a simple graphical interface. It supports multiple tools like yt-dlp and others through extensions, allowing you to download media in different formats and do many downloads at once or batch downloads from files. You can also manage playlist subscriptions and use it in many languages. It works on Windows, macOS, and Linux, with portable and installer versions available. This tool saves you time and effort by making media downloads easy, organized, and flexible, letting you watch offline without interruptions or internet issues.

https://github.com/mhogomchungu/media-downloader

#cplusplus

Tile Language (tile-lang) is a simple, Python-like programming language that helps you write fast GPU and CPU code for tasks like matrix multiplication and attention mechanisms. It uses a smart compiler based on TVM to optimize your code automatically, so you get high performance without dealing with complex low-level details. Tile-lang supports many devices including NVIDIA and AMD GPUs and offers examples and tools to help you write, test, and profile your kernels easily. Installing it is straightforward via pip or from source. This lets you develop efficient AI and math kernels faster and with less effort, improving productivity and performance on modern hardware.

https://github.com/tile-ai/tilelang

#cplusplus #cpp #downloader #flathub #gnome #gtk4 #libadwaita #music #qt #videos #windows #youtube #youtube_dl #yt_dlp

Parabolic is a simple tool that lets you download videos and audio from YouTube and many other sites. You can choose different formats like mp4, webm, mp3, and more, and download several files at once. It also grabs subtitles and metadata, making your downloads more complete. This means you can save videos and music easily for offline use, and organize them with extra info. Just remember to use it in a way that follows copyright rules.

https://github.com/NickvisionApps/Parabolic

#cplusplus #arm #baidu #deep_learning #embedded #fpga #mali #mdl #mobile #mobile_deep_learning #neural_network

Paddle Lite is a lightweight, high-performance deep learning inference framework designed to run AI models efficiently on mobile, embedded, and edge devices. It supports multiple platforms like Android, iOS, Linux, Windows, and macOS, and languages including C++, Java, and Python. You can easily convert models from other frameworks to PaddlePaddle format, optimize them for faster and smaller deployment, and run them with ready-made examples. This helps you deploy AI applications quickly on various devices with low memory use and fast speed, making it ideal for real-time, resource-limited environments. It also supports many hardware accelerators for better performance.

https://github.com/PaddlePaddle/Paddle-Lite

#cplusplus #automatic_differentiation #large_language_models #machine_learning #tensor_algebra

GGML is a lightweight, efficient tensor library written in C that helps you run large machine learning models on everyday hardware like laptops, phones, and even Raspberry Pi. It supports integer quantization (reducing model size and speeding up processing), automatic differentiation, and works across many platforms without needing extra software. GGML uses zero memory allocation during runtime, which improves performance and is great for edge devices with limited resources. You can build and run models easily, including GPT-2, and it supports CUDA, Android, and other hardware. This means you can use advanced AI models faster and cheaper on your existing devices.

https://github.com/ggml-org/ggml