On Device Ai
Showing 12 of 12 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 lightweight CoreML model for detecting NSFW content in images, specifically trained to distinguish between suggestive and explicit content.
A macOS speech-to-text app offering on-device AI transcription, system-wide dictation, and AI text processing with full privacy.
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.
A superfast on-device vector database for Swift, enabling local persistence and vector search for iOS and macOS apps.
An Android Input Method Editor (IME) providing offline voice recognition and translation using the Whisper engine.
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.
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