Free one single software for linux

Enemy lines 7 is a single player first person 3d shooter game.

Shoot down enemy bombers threatening your city.

single-honeypot simulates many services like SMTP, HTTP, POP3, shell, and FTP. It can show manydifferent faces, including those of Windows FTP systems, Windows SMTP systems, different Linux distributions, and some Posix distributions.
I wanted to register every service imaginable with the portmapper, but didnt like the idea of actually running the daemons necessary and relying on the firewall to keep the connections controllled (some dweebs voice in my ear kept saying, "defense in depth.") I was going to bang on the sources to portmapper and hardcode everything from /etc/rpc into there, but after I pulled the tarball down, I started reading and saw that pmap_dump and pmap_set would do it all. Cool. Thanks Wietse.
The fakerpc here is derived from RedHat Linux 7.1, Irix 5.3, and Solaris 8s /etc/rpc files, and then built to include lines for versions 1-4 of each rpc program, via both udp and tcp. Start portmapper as normal, but instead of firingup rpc programs, just execute:
"pmap_set < /usr/local/thp/fakerpc".
Theres a 1:1 chance that this will break your existing legit rpc services. If you are running rpc services on your firewall/hpot, you should go hang out with those non-IDS types above.
Enhancements:
- Changes: Pop3 target added and commands of the SMTP target has been added and modified

One-JAR is a simple solution to the problem of distributing an application as a single jar file, when it depends on multiple other jar files.

It uses a custom classloader to discover library jar files inside the main jar.

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.

Joone project is a FREE Neural Network framework to create, train and test artificial neural networks. The aim is to create a powerful environment both for enthusiastic and professional users, based on the newest Java technologies.
Joone is composed by a central engine that is the fulcrum of all applications that are developed with Joone. Joones neural networks can be built on a local machine, be trained on a distributed environment and run on whatever device.
Everyone can write new modules to implement new algorithms or new architectures starting from the simple components distributed with the core engine. The main idea is to create the basis to promote a zillion of AI applications that revolve around the core framework.
Main features:
Architecture
- The Joones framework is built with a modular architecture: the core engine is separated from the visual interface and permits easily to implement any new application based on it.
- Joone is portable, being written in 100% pure Java. It can run in any environment, from big multiprocessor machines to small palmtop devices.
Neural Networks usability and transportation
- The neural networks based on Joone are usable stand-alone (separated from the framework that has created or trained them).
- The Joones based neural networks can be transported using common protocols (like http or ftp) to run on remote machines
Framework expandability
- The framework is expandable with more components to implement new learning algorithms or new architectures.
- With Joone its possible to implement any kind of optimization; there are two main methods to find the best solution to a given problem (i.e. to find the best neural network): local optimization and global optimization techniques. The local optimization is obtained applying some internal mechanism (the most famous is the momentum), the global optimization, instead, try to find the best solution applying some external technique to select the best performing NN among a predefined group of NNs (like genetic algorithms). Both are implemented with Joone, and many new optimization techniques can be experimented thanks to its expansibility.
Multithreading and scalability
- Joones core engine is based on a multithreaded engine, capable to scale using all the computing resources available.
- Joone provides the professional users with a distributed environment to train many neural networks in parallel on several machines.
Licensing
- Joone is freely usable. Its license is the Lesser General Public License (LGPL).
- Youre encouraged to try it and use it for whatever (both commercial and academic) application.
Whats New in 1.2.1 Stable Release:
- This release adds support for the Groovy scripting language.
- LogarithmicPlugin has been added, to apply a logarithmic transformation (base e) to input data. "Save as XML" has been added to the GUI Editor, in order to permit saving a neural network in XML format.
- A number of bugs have been fixed, including a problem that prevented SangerSynapse from learning when in training mode.
- The inspection panel no longer shows the biases for Layers for which this doesnt make sense.
- This release fixes the lack of the first column when the inspected values were copied in the clipboard.
Whats New in 2.0.0RC1 Development Release:
- Performance was improved by 50%, thanks to heavy refactoring of the core engine, by adding the single-thread mode.
- A set of tools was added in order to hide the complexity of the API.
- A new Image I/O component has been added in order read and write directly from/to image files.
- A new SoftMax Layer has been added to build neural networks able to resolve 1 of C classification problems.
- The usability of the property panels has been improved by adopting a new file chooser panel and a visual calendar panel.
- Several bugs were fixed and the documentation has been updated with the new features.

python-dime project provides a way to parse and generate DIME messages.

Direct Internet Message Encapsulation (DIME) is a binary message format that can be used to encapsulate multiple payloads into a single message.

Single Marker Association is a simple tool that calculates the single marker association between individual SNP markers and a case/control dichotomy.
Usage:
The tool reads two files as input, the first is a set of case and the second a case of control haplotypes. The format of the files is one line per haplotype, where the SNP data is represented as 0 or 1, separated by white-space.
- The tool outputs a list of statistics for each marker
- The marker number (from left to right in the input data)
- The frequency of the 0 allele for the cases file
- The chi-square contingency table statistics for the marker
- The CDF of the chi-square statistics
- The p-value of the statistics (1-CDF)
Installation:
The SMA tool is written in C++. It should compile on any Unix like system. To install, download the source code and unpack it (tar xzf sma-v.tar.gz, where v is the version number of sma), then run make in the subdirectory sma-v created during unpacking.
Enhancements:
- Support for (unphased) genotype data.

PHP Simple Informer is a very simple network services monitoring application written in PHP. PHP Simple Informer can be run as a command line application (PHP compiled as cgi is required) or as a web php file.
Although is very simple, it does its function very well. Is very easy to configure with a single file and a couple of simple lines.
I dont know if this is going to be useful for anybody, but its for me. I have been testing several applications, and all of them are more complex that what I need or they dont perform so simple tasks.
Main features:
- Very simple installation and configuration: one single config file and done.
- Multiple hosts configuration
- Support for special features for services: mysql, http, https.
- Multiple contacts configuration
- Alerts are sent by email or with an executed external command.
- Logs issues to log file.
- Report / status web page.