Search Results for "learning"

The Anti-Spam SMTP Proxy (ASSP) Server project aims to create an open source platform-independent SMTP Proxy server which implements auto-whitelists, self learning Hidden-Markov-Model and/or Bayesian, Greylisting, DNSBL, DNSWL, URIBL, SPF, SRS, Backscatter, Virus scanning, attachment blocking, Senderbase and multiple other filter methods. Click 'Files' to download the professional version 2.8.1 build 24261. A linux(ubuntu 20.04 LTS) and a freeBSD 12.2 based ready to run OVA of ASSP V2 are also available for download. ...

...While contributions vary in maturity, most include usage notes and configuration examples so you can get a graph online with minimal trial and error. The repository also serves as a learning resource: you can crib patterns for performance tuning, environment detection, and Munin’s plugin protocol. For operators, it dramatically shortens the path between “I wish I could graph X” and a consistent time-series chart in production.

This is an learning project, I am trying to implement tool netcat in Perl. Only works under Windows.

Clownbike is a collection of tools and techniques for building web sites in Java. A design goal of Clownbike was to reduce the learning curve for building new Clownbike sites and especially for maintaining existing Clownbike sites.

MimerDesk is a Web-based groupware environment designed for a wide variety of uses such as personal management, computer-supported collaborative learning, carrying out projects, and setting up communities.

ClassWeb was designed to easily create & control class websites without learning HTML or FTP. MySQL & PHP based, this is the open source version of what we've used for over 3 years (330 classes/quarter) at Social Sciences Computing, UCLA.

The Shadow netWorkspace (SNS) is a web-based work environment designed to support learning, collaboration and communication in K-12 schools and higher education institutions.

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.