Showing 17 of 17 projects
A blazing-fast, lightweight deep learning inference engine from Alibaba, optimized for on-device LLMs and Edge AI.
SDKs for adding private, on-device AI features like LLM chat, speech-to-text, and text-to-speech to mobile and web apps.
A highly-accurate, lightweight, on-device wake word detection engine powered by deep learning.
A Swift SDK for fully local, low-latency audio AI on Apple devices, including transcription, text-to-speech, voice activity detection, and speaker diarization.
A macOS speech-to-text app offering on-device AI transcription, system-wide dictation, and AI text processing with full privacy.
A lightweight CoreML model for detecting NSFW content in images, specifically trained to distinguish between suggestive and explicit content.
A high-performance Flutter/Dart database for super-fast object persistence and on-device vector search.
A lightweight, privacy-focused macOS menu bar translator built with pure Swift 6, featuring on-device Apple Translate.
An Android Input Method Editor (IME) providing offline voice recognition and translation using the Whisper engine.
A superfast on-device vector database for Swift, enabling local persistence and vector search for iOS and macOS apps.
An on-device AI teleprompter that listens to your conversations and suggests charismatic quotes in real-time.
A community-driven collection of end-to-end tutorials for creating and deploying TensorFlow Lite models on mobile devices.
A native macOS app for reading markdown specs, docs, and changelogs generated by AI coding tools.
Kotlin implementations of TensorFlow Lite example Android apps for on-device machine learning.
An interactive educational game that uses Gemma 3n for private, on-device AI NPCs to teach sustainable farming and botany.
Profile TensorFlow Lite and OpenCV DNN models on Android devices with performance metrics and delegate options.
A Capacitor plugin providing natural, low-latency speech recognition for iOS and Android apps with streaming results and permission helpers.
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