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#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
#typescript #audio_fingerprinting #browser #browser_fingerprint #browser_fingerprinting #detection #fingerprint #fingerprinting #fingerprintjs #fraud #fraud_detection #identification #javascript #visitor_identifier

FingerprintJS is a tool that helps identify website visitors by collecting and hashing browser attributes. It works even in incognito or private browsing modes and when browser data is cleared. This means you can track visitors more reliably than with cookies or local storage. However, it has limited accuracy (40-60%) because it relies on browser attributes that might be the same for different users. For higher accuracy (99.5%), you can use Fingerprint Identification, a commercial version that processes data on the server and includes more detailed information like IP addresses and visit patterns. This makes it better for preventing fraud and improving user experiences.

https://github.com/fingerprintjs/fingerprintjs