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awesome-mobile-ai's Introduction

Awesome Mobile AI Awesome

Apache 2.0

Contents

  1. Inference
  2. SDK
  3. Project
  4. Misc

Inference

  • TF-LITE - TensorFlow Lite is an open source deep learning framework for on-device inference.

  • MNN - MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

  • NCNN - ncnn is a high-performance neural network inference framework optimized for the mobile platform

  • TNN - TNN is a high-performance and lightweight inference framework for mobile devices

  • Tengine - Tengine is a lite, high performance, modular inference engine for embedded device

  • MACE - MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms

  • Paddle-Lite - About Multi-platform high performance deep learning inference engine

SDK

  • MNNKit - MNNKit is a collection of AI solutions for mobile developers, powered by MNN engine.

  • TengineKit - Tenginekit is an easy-to-integrate face detection and face landmarks SDK. At present, it can run on various mobile phones at very low latency.

  • MediaPipe - MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.

Project

  • HyperLandmark - Deep Learning Based Free Mobile Real-Time Face Landmark Detector.

  • CainCamera - CainCamera is an Android Project to learn about development of beauty camera, image and short video

  • FacePlayer - Face converter in video

Misc

  • AoE - AoE (AI on Edge) is a drop-open open source terminal side AI Integrated Runtime Environment (IRE)

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