Free based learning software for linux

machine learning framework for Mathematica is a collection of powerful machine learning algorithms integrated into a framework for the main purpose of data analysis.
Fuzzy logic is one of its key techniques. The framework allows for combining different machine learning algorithms to solve one single problem. This combination of distinct algorithms may give the user unforeseen insights into its data.
The algorithms are highly parameterizable. Given this parameterizability combined with the efficient core engine of the machine learning framework for Mathematica, the user is able to analyze their data interactively, with short cycles of changing parameter settings and examining the results.
The machine learning framework for Mathematica covers a wide range of machine learning algorithms which can be integrated to work together and therefore yield new results.
Enhancements:
- runs native on Intel-Macs
- runs in 64-bit mode on G5-Macs
- fuzzy decision trees
- fuzzy rule learning
- fuzzy regression trees
- cluster descriptions
- optimization of fuzzy controllers
- self-organizing maps
- automated model testing
- advanced data visualization.

Project-Based Calendaring System (in short PBCS) is an open source web-based calendaring system, designed to be an useful aid for people who manage schedules for one or more persons.
Project-based Calendaring Systems main feature, which distinguishes it from all other calendar applications, is that schedule planners can plan schedules for other people easily using day or week overviews showing multiple people at once.
There are the regular single-user overviews for those who look mainly at their own calendar. For people on the road it is now possible to sync your appointments into a Palm PDA.
Enhancements:
- Added hooks to support notes from external sources. Added hooks day_notes_after and week_notes_after.
- Recurrence settings are remembered in the appointment form.
- Fixed Early and Late Appointments to show in the mulit-day and single-week overview
- The note form and the appointment for now have back buttons
- Fixed IE javascript errors in the user picker and the user & group administration section.
- Fixed IE javascript error in the installer_pbcs.php.
- Now IE6 and 7 should be able to install 0.7.1!

Elgg: the Learning Landscape is a community building platform written in PHP for MySQL and Apache.
It gives you the tools to create active and vibrant learning communities, featuring Weblogging, podcasting, social networking, file storage, tag searching, customised user themes, gettext multi-language support, and more.
Users can control exactly who has access to each bit of their profile, each blog post, file, etc., and then search using tags to find other resources and people related to the same topic.
Although originally designed for education, it has a broad range of uses in a variety of different settings.
Enhancements:
- Generalised comments
- Bugfixes, efficiency improvements

OO Learning Evaluation GO is an object-oriented platform and algorithms for the game of GO.
It aims to provide a capable engine that can learn through experience and a re-usable algorithmic framework for the rapid development of new GO-playing engines.
Enhancements:
- Reorganization of the code was started so that various learnable evaluation functions can be used easily.
- Learning is currently tested in the GoPlayer module.
- The learned function simply learns to imitate the current static function.

pslange project is a ncurses-based clone of the game snake.
pslange is a clone of an old classic game otherwise known as snake or nibbles.
The object of the game is to steer the snake around the screen eating the food that pops up. Every time the snake eats something it grows. If the snake hits an obstacle either itself or the wall, the game ends.
I wrote pslange as a small learning project in order to learn python. It may not be the most advanced game but I belive it is an entertaining way to spend a few minutes. :-)
Since it does have several features common to many python based command line tools, it may be useful to some people as an example on how to do these things in python.
Main features:
- Internationalization - also known as I18N.
- Python setup.
- Command line handling using the module optparse.
- Using the python curses interface.

Learning Management System allows users to manage online learning classes.
It allows them to set up classes, create assignments online, and send messages to students from within the system for tracking.
Learning Management System is a simple system to move academic classes onto the Web in order to reach a larger audience.
Enhancements:
- This release fixed two bugs in the library file system.