#objective_c #cache #carthage #cocoapods #gif #image #ios #jpeg #macos #objective_c #png #sdwebimage #swift #watchos #webp

https://github.com/SDWebImage/SDWebImage

#objective_c #cocoa #crash #crash_reporting #crash_reports #error_handler #error_monitoring #hacktoberfest #ios #macos #objective_c #sentry #swift #tag_production #tvos #watchos

https://github.com/getsentry/sentry-cocoa

#swift #inference #ios #macos #pretrained_models #speech_recognition #swift #transformers #visionos #watchos #whisper

WhisperKit is a tool that helps your Apple devices recognize speech from audio files or live recordings using OpenAI's Whisper model. It works locally on your device, which means it doesn't need internet connection once set up. To use it, you can add WhisperKit to your Swift project easily through the Swift Package Manager or install a command-line version using Homebrew. This tool is beneficial because it allows you to transcribe audio quickly and efficiently right on your device, making it useful for various applications like voice assistants or transcription services.

https://github.com/argmaxinc/WhisperKit