#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

#cplusplus #oculus #oculus_quest #oculus_quest_2 #openxr #vr

WiVRn lets you wirelessly connect your standalone VR headset (like Meta Quest or Pico) to a Linux PC, so you can play PC VR games with the computer doing all the processing. It supports many headsets and uses OpenXR for compatibility with most VR apps, including SteamVR games. You install a server on your Linux PC and a client app on your headset, then connect over WiFi or USB. This setup gives you a wireless VR experience with good tracking and audio, letting you enjoy PC-quality VR without cables. It’s open source and works well on various Linux distributions.

https://github.com/WiVRn/WiVRn

#cplusplus #cross_platform

Lynx is an open-source framework that lets you build native mobile and web apps using web skills like CSS and React from a single codebase. It delivers true native performance through a dual-threaded architecture that separates UI rendering from business logic, eliminating lag and enabling instant app launches. This means you can write code once and deploy across Android, iOS, and web platforms, saving development time and costs while maintaining the speed and responsiveness of native applications.

https://github.com/lynx-family/lynx

#cplusplus #jellyfin #jellyfin_client

Jellyfin Desktop is a free app for Windows, Mac, and Linux that uses the familiar Jellyfin web interface with a built-in MPV player for smooth video and music playback in one window. It supports audio passthrough, controller use, and easy downloads from GitHub or Flathub. Build guides help customize it yourself. This gives you better media control, high-quality playback without transcoding issues, and seamless streaming from your server—saving time and improving your home entertainment setup.

https://github.com/jellyfin/jellyfin-desktop