Megatron King's repositories
NetBare-Android
Net packets capture & injection library designed for Android
SVG-Android
support svg images for android 4.0+, more powerful than IconFont and Vector.
HttpCanary
HttpCanary app repository
StringFog-Sample1
A StringFog sample using xor encryption
StringFog-Sample2
A StringFog sample using custom encryption
curl
A command line tool and library for transferring data with URL syntax, supporting DICT, FILE, FTP, FTPS, GOPHER, GOPHERS, HTTP, HTTPS, IMAP, IMAPS, LDAP, LDAPS, MQTT, POP3, POP3S, RTMP, RTMPS, RTSP, SCP, SFTP, SMB, SMBS, SMTP, SMTPS, TELNET and TFTP. libcurl offers a myriad of powerful features
MegatronKing
Profile Docs
platform_device_id
flutter plugin to get device id
reqable-nmenu
Native context menu for Flutter apps
tray_manager
This plugin allows Flutter desktop apps to defines system tray.
aether-proxy
HTTP/HTTPS/WebSocket proxy server for viewing and intercepting web traffic.
flutter-desktop-embedding
Experimental plugins for Flutter for Desktop
fmt
A modern formatting library
highlight.dart
Syntax highlighting for Dart and Flutter
highlight.js
JavaScript syntax highlighter with language auto-detection and zero dependencies.
Iconic
A minimal set of icons in raster, vector and font formats — free for public use.
MifareClassicTool
An Android NFC app for reading, writing, analyzing, etc. MIFARE Classic RFID tags.
openssl-cmake
Build OpenSSL with CMake on MacOS, Win32, Win64 and cross compile for Android, IOS
plus_plugins
Flutter Community Plus Plugins
reqable_compression
Compression framework for Dart providing FFI implementations for Brotli, Lz4, Zstd (Zstandard) with ready-to-use prebuilt binaries for Win/Linux/Mac.
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。