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The xfrpc project is an implementation of frp client written in C
The xfrpc project is an implementation of frp client written in C language for OpenWRT and IOT system. The main motivation of this project is to provide a lightweight solution for devices with limited resources such as OpenWRT devices which often have limited ROM and RAM space. The project aims to provide a frp client that uses less space and memory than other available options.
...This project is based on the Mongoose web server, but maintains the MIT license and is free from GPL licenses.
Installation Guide
https://github.com/civetweb/civetweb/blob/master/docs/Installing.md
Contributions are welcome and encouraged.
The official source code is at
https://github.com/civetweb/civetweb
Problems may be reported at
https://github.com/civetweb/civetweb/issues
Use the "Civetweb" Google groups for questions and discussion
https://groups.google.com/d/forum/civetweb
ffmpeg-php is a PHP extension that adds functions for accessing and retrieving information from movies and audio files. ffmpeg-php provides access to the many audio and video formats supported by ffmpeg.
NOTE: This project is no longer maintained and completely unloved. Check out (https://github.com/char0n/ffmpeg-php/tree/master/adapter) for a drop in replacement that's actively maintained and not hosted on this horrendous sourceforge site.
Incredibly versatile distributed filesystem. The aim of this project is to provide a FUSE filesystem capable of transparent multi-master, replication and raid-like behavior.
Allows approved users to build a virtual streaming station from mp3's. Generates web page for each user plus master page. Streams, playlist and podcast for each Virtual Program Director. Allows control of content by root user(s). Uses Ices and Icecast.
MUS is a cards game with 4 players around a table. It is a spanish (basque) game. Easy to learn to play but hard to master. Important to decoy opponents. SUMUS is a server for such a game. Clients are also provided or in development.
This is my Master Degree project, I am trying to improve the movie prediction by using machine learning techniques, for the Netflix data set. This project is done under guidance of Dr. Richard Maclin, at University of Minnesota Duluth.