heibeiyongle

PaddleClas

A treasure chest for visual classification and recognition powered by PaddlePaddle

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

gemma

Open weights LLM from Google DeepMind.

UVCCamera

library and sample to access to UVC web camera on non-rooted Android device

Umi-OCR

OCR software, free and offline. 开源、免费的离线OCR软件。支持截屏/批量导入图片，PDF文档识别，排除水印/页眉页脚，扫描/生成二维码。内置多国语言库。

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)

LearnOpengl

android OpengGL学习作品，Camera数据作为源提供给着色器变换，涵盖FBO,OES,自定义EGL等知识

Fisheye

Open Source iOS 360 Degree Panorama Video Player. (HTY360Player is renamed to Fisheye)

OpenGLCamera2

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

Android-P7

Android-Notes

Android开发核心知识点笔记（不断更新中🔥）

LanTransfer

局域网(本地网络),视频分发,消息通信框架

android-gpuimage

Android filters based on OpenGL (idea from GPUImage for iOS)

NDK_OpenGLES_3_0

Android OpenGL ES 3.0 从入门到精通系统性学习教程

awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

AndroidGithubBoss

Github Android 个人技术开源影响力排行榜

grafika

Grafika test app

flutter_ijkplayer

ijkplayer for flutter

VideoCompression

Demonstrate how to compress video using native Media Codec API

VideoCompressor

A High-performance video compressor for Android using Hardware decoding and encoding API(MediaCodec).

AvStackDocs

音视频基础知识整理和相关协议文档说明

TSParser

一个解析MPEG-TS的小程序，解析PAT,PMT,PCR,PTS,DTS等信息

AndroidAutoSize

🔥 A low-cost Android screen adaptation solution (今日头条屏幕适配方案终极版，一个极低成本的 Android 屏幕适配方案).

RxDocs

Rx和RxJava文档中文翻译项目

CatCoding

公众号： 壹种念头 教程源码

buildVpn

图文教程搭建一个vpn翻墙

MMKV

An efficient, small mobile key-value storage framework developed by WeChat. Works on Android, iOS, macOS, Windows, and POSIX.

HarmonyOS-Notes

matrix

Matrix is a plugin style, non-invasive APM system developed by WeChat.

AiLearning-Theory-Applying

快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。