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361camera

An Android camera application

ant-learn-pandas

pandas学习课程代码仓库

c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

camera-samples

Multiple samples showing the best practices in camera APIs on Android.

camera2

Android L Camera2 Demo

camerafragment

A simple easy-to-integrate Camera Fragment for Android

cameraview

仿微信拍照Android控件（轻触拍照，长按摄像）

cpp_houjie

侯捷C++课程PPT及代码,动手学起来

cuda-programming

Sample codes for my CUDA programming book

dsalearn

数据结构与算法

hellowrold

a new project

insightface

State-of-the-art 2D and 3D Face Analysis Project

karmabase

learngit

this repository is learning the git

mnn

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

mtcnn_ncnn

基于ncnn框架搭建win及android端的MTCNN人脸检测工程

mylearn

算法工程师（机器学习）技能树学习笔记

ncnn

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

ncnn-android-squeezenet

The squeezenet image classification android example

ndk-samples

Android NDK samples with Android Studio

paddleocr

Awesome multilingual OCR toolkits based on PaddlePaddle （practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices）

team-learning-data-mining

主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。

tnn

TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. TNN：由腾讯优图实验室和光影实验室协同打造，移动端高性能、轻量级推理框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地，欢迎大家参与协同共建，促进TNN推理框架进一步完善。