#python #artificial_intelligence #audio_generation #deep_learning #denoising_diffusion

https://github.com/archinetai/audio-diffusion-pytorch

#go #aac #audio #golang #h264 #h265 #hls #media_server #obs_studio #rtcp #rtmp #rtmp_proxy #rtmp_server #rtp #rtsp #rtsp_proxy #rtsp_relay #rtsp_server #streaming #video

https://github.com/aler9/rtsp-simple-server

#typescript #ai #audio #diffusion #music #nextjs #stable_diffusion #threejs

https://github.com/hmartiro/riffusion-app

#python #ai #audio #diffusers #diffusion #music #stable_diffusion

https://github.com/hmartiro/riffusion-inference

#typescript #android #audio #ios #media_control #music_library #music_player #react_native #windows

https://github.com/doublesymmetry/react-native-track-player

#python #artificial_intelligence #attention_mechanisms #audio_synthesis #deep_learning #transformers

https://github.com/lucidrains/audiolm-pytorch

#kotlin #audio #discord #docker #hacktoberfest #lavalink #lavaplayer #spring_boot

https://github.com/lavalink-devs/Lavalink

#python #audio #deep_learning #noise_suppression #pytorch #rust #speech #speech_enhancement

https://github.com/Rikorose/DeepFilterNet

#typescript #audio_player #deep_learning #electron #emby #jellyfin #librosa #media_server #music #music_player #music_server #navidrome #nsmusics #player #subsonic #vue3

NSMusicS is a free, open-source music platform designed to work on various operating systems like Windows, Linux, and macOS. It supports multiple streaming servers and offers features such as music library management and internationalization. The platform includes desktop, mobile, and server components, ensuring compatibility and data interoperability across different devices. This means users can enjoy a seamless music experience without relying on proprietary software, making it user-friendly and accessible globally.

https://github.com/Super-Badmen-Viper/NSMusicS

#cplusplus #android #audio_processing #c_plus_plus #calculator #computer_vision #deep_learning #framework #graph_based #graph_framework #inference #machine_learning #mediapipe #mobile_development #perception #pipeline_framework #stream_processing #video_processing

MediaPipe is a tool that helps you add smart machine learning features to your apps and devices. It works on mobile, web, desktop, and other devices. You can use pre-made solutions for tasks like vision, text, and audio processing, or customize the models to fit your needs. MediaPipe also offers tools like Model Maker and Studio to help you create and test your solutions easily. This makes it easier to delight your customers with innovative features without needing deep machine learning expertise.

https://github.com/google-ai-edge/mediapipe