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mobile-deep-learning

mobilenet-caffe

Caffe Implementation of Google's MobileNets (v1 and v2)

models

Pre-trained and Reproduced Deep Learning Models （经典复现模型）

multisoload

Android jni multi so load

multistateview

一个通用状态切换视图

mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

nerd-fonts

Iconic font aggregator, collection, & patcher. 3,600+ icons, 50+ patched fonts: Hack, Source Code Pro, more. Glyph collections: Font Awesome, Material Design Icons, Octicons, & more

netron

Visualizer for neural network, deep learning, and machine learning models

notable

The markdown-based note-taking app that doesn't suck.

numberprogressbar

A beautiful, slim Android ProgressBar.

nvim-lua

基于nvchad的配置

open_model_zoo

Pre-trained Deep Learning models and samples (high quality and extremely fast)

opencl-101

Learn OpenCL step by step.

opencl-docs

OpenCL API, OpenCL C, Extensions, SPIR-V Environment Specs, Ref page, and C++ for OpenCL doc sources.

opencl-guide

there are guide examples for mobile cv algorithms optimization.

opencl-layers-tutorial

opencl-sdk

OpenCL SDK

opencl_cook

opencldemo

opencv

Open Source Computer Vision Library

openglcamera2

🔥 Android OpenGL Camera 2.0 实现 30 种滤镜和抖音特效

openhub

An open source GitHub Android client app, faster and concise.

overscroll-decor

Android: iOS-like over-scrolling effect applicable over almost all scrollable Android views.

paddle

PArallel Distributed Deep LEarning

paddle-inference-demo

paddle-lite-gpu

This research aims at simply deploying deeplearning on mobile and embedded devices, with low complexity and high speed. old name mobile deep learning.

paddle-mobile

paddle-mobile初始版本 (升级版本在 https://github.com/PaddlePaddle/Paddle-Lite)

paddle-mobile-demo

a simple paddle-mobile-demo

paddle-tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

paddle.js

Paddle.js is an Web project for Baidu Paddle, which is an open source deep learning framework designed to work on web browser. Load a pretrained paddle.js SavedModel or Paddle Hub module into the browser and run inference through Paddle.js. It could run on nearly every browser with WebGL support.