#cplusplus
FlashMLA is DeepSeek's optimized attention library that makes AI models run faster and use less memory. It works with advanced NVIDIA GPUs to speed up how language models process information, achieving up to 660 trillion floating-point operations per second. The library supports both dense and sparse attention modes, meaning it can focus on important tokens while skipping less relevant ones, reducing computational waste. For you, this means faster AI responses, lower costs for running large language models, and better performance on tasks like chatbots and code generation. The technology is open-source and integrates with popular AI frameworks like PyTorch and Hugging Face, making it accessible for developers building next-generation AI applications.
https://github.com/deepseek-ai/FlashMLA
#go#docker#golang#media_streaming#remote_control#remote_desktop#self_hosted#virtual_browser#vue#webrtc
Neko is a self-hosted virtual browser that runs inside a Docker container and streams via WebRTC, letting you securely and privately access a full browser or desktop environment from anywhere. It supports multiple users at once, making it great for team collaboration, shared browsing, watch parties, and interactive presentations. You can run various browsers like Firefox, Chrome, or Tor, and even other Linux apps. Neko keeps your data safe by isolating the browser environment, avoids leaving traces on your device, and supports smooth video and audio streaming. This gives you flexible, secure, and private web access with easy sharing and real-time interaction.
https://github.com/m1k1o/neko
#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