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Ncaster 1.7.2
NCaster is content management system that features high customizability and flexibility. more>>
NCaster is content management system that features high customizability and flexibility.
Ncaster project supports limitless custom fields, relational links between articles, caching, user levels, a WYSWYG HTML editor, XML feeds, article authentication, a plugin-based scripting language, and more.
Main features:
- Modules: Modules in Ncaster are extremely easy to create, maintain, and edit.
- Hubs: A somewhat different approach at related articles, this new method is vastly more flexible then a traditional relation system. It allows you to bind two articles together and use each others data on a single page. Hubs also act as a relation link, where you can list all related articles associated to a hub.
- Powerful Custom Field Creation: Add an unlimited amount of custom fields. Choose from a single line field, multi-line box, ratio selection, or a custom drop-down list created before hand. Advanced filtering filters your results automatically based on your custom fields.
- Build List Technology: Add an unlimited amount to custom fields. Control the number, appearance, type, and order in which you want your lists displayed. Choose whether to save to your database or to a text file.
- Flexible Template System: Allows you to have full control over the look and feel of your site.
- Cache System: Large sites demand speed, they need to load fast and feed out information to thousands. A dynamic system will just not cut it when it comes to the crunch, Ncaster uses a template caching system that is extremely fast (as low as 0.004) at storing, retrieving, and updating stored pre-rendered templates.
- Staff System: Add or remove an unlimited number of staff members (four levels: Administrator, Editor, Agent, Guest). Each staff member has his or her own user profile.
- Entity 2.0: Exclusive, versatile scripting language used in Ncaster templates. More clear and easy to use than php. Entity 2 is plugin based; new functionality can be added by just downloading new functions from the ncaster website.
- WYSIWYG html editor: Features the raw essentials for posting articles. Can be disabled or enabled at any time.
- Images: New to Ncaster is image resizing and image watermarking. You have the option to pick the transparent color, compression, and more.
- XML Feed: Generate XML feeds. This allows other webmasters to use your content; a very effective way of advertising your sites content.
- Search Engine Friendly: Some search engines do not index sites with dynamic content. Ncaster features some mod-rewrite code as well as short URLs.
- Article Authentication - Each article posted by your members now can be authenticated before they appear on your site as published. This option can be disabled or enabled at any time.
<<lessNcaster project supports limitless custom fields, relational links between articles, caching, user levels, a WYSWYG HTML editor, XML feeds, article authentication, a plugin-based scripting language, and more.
Main features:
- Modules: Modules in Ncaster are extremely easy to create, maintain, and edit.
- Hubs: A somewhat different approach at related articles, this new method is vastly more flexible then a traditional relation system. It allows you to bind two articles together and use each others data on a single page. Hubs also act as a relation link, where you can list all related articles associated to a hub.
- Powerful Custom Field Creation: Add an unlimited amount of custom fields. Choose from a single line field, multi-line box, ratio selection, or a custom drop-down list created before hand. Advanced filtering filters your results automatically based on your custom fields.
- Build List Technology: Add an unlimited amount to custom fields. Control the number, appearance, type, and order in which you want your lists displayed. Choose whether to save to your database or to a text file.
- Flexible Template System: Allows you to have full control over the look and feel of your site.
- Cache System: Large sites demand speed, they need to load fast and feed out information to thousands. A dynamic system will just not cut it when it comes to the crunch, Ncaster uses a template caching system that is extremely fast (as low as 0.004) at storing, retrieving, and updating stored pre-rendered templates.
- Staff System: Add or remove an unlimited number of staff members (four levels: Administrator, Editor, Agent, Guest). Each staff member has his or her own user profile.
- Entity 2.0: Exclusive, versatile scripting language used in Ncaster templates. More clear and easy to use than php. Entity 2 is plugin based; new functionality can be added by just downloading new functions from the ncaster website.
- WYSIWYG html editor: Features the raw essentials for posting articles. Can be disabled or enabled at any time.
- Images: New to Ncaster is image resizing and image watermarking. You have the option to pick the transparent color, compression, and more.
- XML Feed: Generate XML feeds. This allows other webmasters to use your content; a very effective way of advertising your sites content.
- Search Engine Friendly: Some search engines do not index sites with dynamic content. Ncaster features some mod-rewrite code as well as short URLs.
- Article Authentication - Each article posted by your members now can be authenticated before they appear on your site as published. This option can be disabled or enabled at any time.
Download (0.50MB)
Added: 2006-06-06 License: Freeware Price:
1295 downloads
AI::NeuralNet::BackProp 0.77
AI::NeuralNet::BackProp is a simple back-prop neural net that uses Deltas and Hebbs rule. more>>
AI::NeuralNet::BackProp is a simple back-prop neural net that uses Deltas and Hebbs rule.
SYNOPSIS
use AI::NeuralNet::BackProp;
# Create a new network with 1 layer, 5 inputs, and 5 outputs.
my $net = new AI::NeuralNet::BackProp(1,5,5);
# Add a small amount of randomness to the network
$net->random(0.001);
# Demonstrate a simple learn() call
my @inputs = ( 0,0,1,1,1 );
my @ouputs = ( 1,0,1,0,1 );
print $net->learn(@inputs, @outputs),"n";
# Create a data set to learn
my @set = (
[ 2,2,3,4,1 ], [ 1,1,1,1,1 ],
[ 1,1,1,1,1 ], [ 0,0,0,0,0 ],
[ 1,1,1,0,0 ], [ 0,0,0,1,1 ]
);
# Demo learn_set()
my $f = $net->learn_set(@set);
print "Forgetfulness: $f unitn";
# Crunch a bunch of strings and return array refs
my $phrase1 = $net->crunch("I love neural networks!");
my $phrase2 = $net->crunch("Jay Lenno is wierd.");
my $phrase3 = $net->crunch("The rain in spain...");
my $phrase4 = $net->crunch("Tired of word crunching yet?");
# Make a data set from the array refs
my @phrases = (
$phrase1, $phrase2,
$phrase3, $phrase4
);
# Learn the data set
$net->learn_set(@phrases);
# Run a test phrase through the network
my $test_phrase = $net->crunch("I love neural networking!");
my $result = $net->run($test_phrase);
# Get this, it prints "Jay Leno is networking!" ... LOL!
print $net->uncrunch($result),"n";
AI::NeuralNet::BackProp is the flagship package for this file. It implements a nerual network similar to a feed-foward, back-propagtion network; learning via a mix of a generalization of the Delta rule and a disection of Hebbs rule. The actual neruons of the network are implemented via the AI::NeuralNet::BackProp::neuron package
<<lessSYNOPSIS
use AI::NeuralNet::BackProp;
# Create a new network with 1 layer, 5 inputs, and 5 outputs.
my $net = new AI::NeuralNet::BackProp(1,5,5);
# Add a small amount of randomness to the network
$net->random(0.001);
# Demonstrate a simple learn() call
my @inputs = ( 0,0,1,1,1 );
my @ouputs = ( 1,0,1,0,1 );
print $net->learn(@inputs, @outputs),"n";
# Create a data set to learn
my @set = (
[ 2,2,3,4,1 ], [ 1,1,1,1,1 ],
[ 1,1,1,1,1 ], [ 0,0,0,0,0 ],
[ 1,1,1,0,0 ], [ 0,0,0,1,1 ]
);
# Demo learn_set()
my $f = $net->learn_set(@set);
print "Forgetfulness: $f unitn";
# Crunch a bunch of strings and return array refs
my $phrase1 = $net->crunch("I love neural networks!");
my $phrase2 = $net->crunch("Jay Lenno is wierd.");
my $phrase3 = $net->crunch("The rain in spain...");
my $phrase4 = $net->crunch("Tired of word crunching yet?");
# Make a data set from the array refs
my @phrases = (
$phrase1, $phrase2,
$phrase3, $phrase4
);
# Learn the data set
$net->learn_set(@phrases);
# Run a test phrase through the network
my $test_phrase = $net->crunch("I love neural networking!");
my $result = $net->run($test_phrase);
# Get this, it prints "Jay Leno is networking!" ... LOL!
print $net->uncrunch($result),"n";
AI::NeuralNet::BackProp is the flagship package for this file. It implements a nerual network similar to a feed-foward, back-propagtion network; learning via a mix of a generalization of the Delta rule and a disection of Hebbs rule. The actual neruons of the network are implemented via the AI::NeuralNet::BackProp::neuron package
Download (0.094MB)
Added: 2006-06-16 License: Perl Artistic License Price:
1225 downloads
Picalo 2.36
Picalo Data Analysis Software is an free and open-source application that helps data analysts. more>>
Picalo Data Analysis Software is an free and open-source application that helps data analysts.
Picalo Data Analysis Software is an open source application that helps data analysts, fraud investigators, and auditors search through data sets for anomalies, trends, and other information.
Picalo is a scripting-oriented, data analysis toolkit that is focused on forensic data analysis. It is based in the Python language, and it includes a number of modules to crunch and massage data. I use it in my fraud research, and I publish it as open source in hopes that others will find it useful, contribute additions, and better the suite.
Main features:
- Picalo is an open framework. Users can either use the built-in routines or write their own. Those who write their own can share their routines with others in the Picalo community. The goal is to create a large set of analysis routines that meet many different needs--on a scale that a single company could never do.
- The philosophy of Picalo is to bridge the gap between technically-oriented analysts and non-technical analysts. Data analysts who know basic scripting routines (for loops, for example), are more efficient and effective than those who do not--usually by several orders of magnitude. Picalo allows those who are technical to quickly write wizard-based analyses that others in an organization can use. See the user manual for more information about the plugin Detectlet architecture.
- Picalo includes advanced analysis routines not found in competing products. For example, it supports grouping by a number of days for analysis of labor and time card data. Picalo can also automatically group records to achieve a specified degree of smoothness in data.
- Picalos language is based in Python, a powerful and easy-to-learn language. Rather than creating its own language (like competing packages do), Picalo rises on the shoulders of an extremely well-done language. You can download any of thousands of Python libraries from the Internet to use in your analyses.
- Picalo runs on Windows, Mac OS X, Linux, and many other systems. Most competing data analysis applications run only on Windows.
The Picalo community believes that data analysis is best done through scripting. However, we realize that not all analysts will learn and enjoy scripting. Picalos Deteclet architecture allows those who know how to script support those who do not through customizable wizards.
Picalo is also based in open source principles. This doesnt mean the designers cant make money with Picalo, it just means that the software code is open for others to fix bugs, code review, and improve upon. Profits should be made in using the software (on the job or in consulting practice) rather than in selling the software.
<<lessPicalo Data Analysis Software is an open source application that helps data analysts, fraud investigators, and auditors search through data sets for anomalies, trends, and other information.
Picalo is a scripting-oriented, data analysis toolkit that is focused on forensic data analysis. It is based in the Python language, and it includes a number of modules to crunch and massage data. I use it in my fraud research, and I publish it as open source in hopes that others will find it useful, contribute additions, and better the suite.
Main features:
- Picalo is an open framework. Users can either use the built-in routines or write their own. Those who write their own can share their routines with others in the Picalo community. The goal is to create a large set of analysis routines that meet many different needs--on a scale that a single company could never do.
- The philosophy of Picalo is to bridge the gap between technically-oriented analysts and non-technical analysts. Data analysts who know basic scripting routines (for loops, for example), are more efficient and effective than those who do not--usually by several orders of magnitude. Picalo allows those who are technical to quickly write wizard-based analyses that others in an organization can use. See the user manual for more information about the plugin Detectlet architecture.
- Picalo includes advanced analysis routines not found in competing products. For example, it supports grouping by a number of days for analysis of labor and time card data. Picalo can also automatically group records to achieve a specified degree of smoothness in data.
- Picalos language is based in Python, a powerful and easy-to-learn language. Rather than creating its own language (like competing packages do), Picalo rises on the shoulders of an extremely well-done language. You can download any of thousands of Python libraries from the Internet to use in your analyses.
- Picalo runs on Windows, Mac OS X, Linux, and many other systems. Most competing data analysis applications run only on Windows.
The Picalo community believes that data analysis is best done through scripting. However, we realize that not all analysts will learn and enjoy scripting. Picalos Deteclet architecture allows those who know how to script support those who do not through customizable wizards.
Picalo is also based in open source principles. This doesnt mean the designers cant make money with Picalo, it just means that the software code is open for others to fix bugs, code review, and improve upon. Profits should be made in using the software (on the job or in consulting practice) rather than in selling the software.
Download (4.0MB)
Added: 2006-01-08 License: GPL (GNU General Public License) Price:
1388 downloads
W3Perl 2.99
W3Perl is a tool to analyse your web activity. more>>
W3Perl is a tool to analyse your web activity. W3Perl can be easily configured.
Graphical and textual informations are used to have a better view of the success of your WWW server among Internet users. I hope this package will help you to produce an ever better www server.
Main features:
- HTML output
- Fast (work in incremental mode)
- Truly incremental version (relationship between variables are stored)
- Multi-language output (you could add yours easily)
- Differents graphs and texts output
- Compute hourly, daily, weekly and monthly output
- Compute countries, hosts, pages, directories, domain... stats
- Compute light or huge output
- Servers configuration file (use as many config files as the stats report you need)
- Commands line options
- Run on every server Ive used (Apache, NCSA, CERN, IIS, Netscape...)
- Works with common, extended common, new extended or IIS logfile format
- No root access or cgi-bin access need. Could be run from your own directory
- Can work with crunched logfiles or/and with monthly/daily logfiles
- Can run each night in a crontab
- Map URL to documents title
- Referer and agent statistics
- Keywords referer stats from search engine
- Error stats
- Session stats
- Scripts stats
- Login stats for restricted directories
- Statistics about your Web structure (tree, bad links...)
- Work on every computer (Unix, NT, Mac and Acorn tested)
- Work with most logfile format (you can add others easily)
- Virtual server with NECLF or patched CLF or ECLF format
- Remote administration interface
- Lots of log filename string supported for daily or monthly logfiles
- No telnet access need to use the package
- Very accurate stats for each day
- Real time stats
- FTP and Squid logfiles support new
Enhancements:
- Support for Postfix/Sendmail and Exim mail server log files has been added.
- A daily report can be sent by email with an optional PDF attachment.
- Icons have been improved.
- HTML files without extensions can now be parsed.
- Various fixes for parsing small log files have been included.
- There are many minor improvements.
<<lessGraphical and textual informations are used to have a better view of the success of your WWW server among Internet users. I hope this package will help you to produce an ever better www server.
Main features:
- HTML output
- Fast (work in incremental mode)
- Truly incremental version (relationship between variables are stored)
- Multi-language output (you could add yours easily)
- Differents graphs and texts output
- Compute hourly, daily, weekly and monthly output
- Compute countries, hosts, pages, directories, domain... stats
- Compute light or huge output
- Servers configuration file (use as many config files as the stats report you need)
- Commands line options
- Run on every server Ive used (Apache, NCSA, CERN, IIS, Netscape...)
- Works with common, extended common, new extended or IIS logfile format
- No root access or cgi-bin access need. Could be run from your own directory
- Can work with crunched logfiles or/and with monthly/daily logfiles
- Can run each night in a crontab
- Map URL to documents title
- Referer and agent statistics
- Keywords referer stats from search engine
- Error stats
- Session stats
- Scripts stats
- Login stats for restricted directories
- Statistics about your Web structure (tree, bad links...)
- Work on every computer (Unix, NT, Mac and Acorn tested)
- Work with most logfile format (you can add others easily)
- Virtual server with NECLF or patched CLF or ECLF format
- Remote administration interface
- Lots of log filename string supported for daily or monthly logfiles
- No telnet access need to use the package
- Very accurate stats for each day
- Real time stats
- FTP and Squid logfiles support new
Enhancements:
- Support for Postfix/Sendmail and Exim mail server log files has been added.
- A daily report can be sent by email with an optional PDF attachment.
- Icons have been improved.
- HTML files without extensions can now be parsed.
- Various fixes for parsing small log files have been included.
- There are many minor improvements.
Download (0.74MB)
Added: 2007-05-26 License: GPL (GNU General Public License) Price:
882 downloads
amSynth 1.2.0
amSynth is a realtime polyphonic Analogue Modeling SYNTHesizer. more>>
amSynth is a realtime polyphonic Analogue Modeling SYNTHesizer. The project provides virtual analogue synthesis in the style of the classic Moog Minimoog/Roland Junos.
It offers an easy-to-use interface and synth engine, while still creating varied sounds.
Main features:
- two analogue-style audio oscillators, featuring:
- sinusoidal, saw/triangle (with adjustable shape), square/pulse (with adjustable pulsewidth) waveforms
- white noise with or without sample & hold
- hard sync
- of course, detune and range controls
- mixer section with ring modulation
- analogue-style low-pass filter
- 24dB/octave curve
- dedicated ADSR envelope
- cutoff and resonance control
- keyboard pitch tracking
- amplifier with dedicated ADSR envelope
- modulation LFO
- up to 58Hz modulation
- routable to all sections (pitch, filter, amplifier)
- Effects
- High quality stereo reverb (freeverb)
- Distortion/crunch
- Easy navigation and manipulation of presets
<<lessIt offers an easy-to-use interface and synth engine, while still creating varied sounds.
Main features:
- two analogue-style audio oscillators, featuring:
- sinusoidal, saw/triangle (with adjustable shape), square/pulse (with adjustable pulsewidth) waveforms
- white noise with or without sample & hold
- hard sync
- of course, detune and range controls
- mixer section with ring modulation
- analogue-style low-pass filter
- 24dB/octave curve
- dedicated ADSR envelope
- cutoff and resonance control
- keyboard pitch tracking
- amplifier with dedicated ADSR envelope
- modulation LFO
- up to 58Hz modulation
- routable to all sections (pitch, filter, amplifier)
- Effects
- High quality stereo reverb (freeverb)
- Distortion/crunch
- Easy navigation and manipulation of presets
Download (0.43MB)
Added: 2006-12-24 License: GPL (GNU General Public License) Price:
1038 downloads
gPlanarity 11496
gPlanarity is a simple puzzle game involving untangling planar graphs for fun and prizes. more>>
gPlanarity is a simple puzzle game involving untangling planar graphs for fun and prizes. If you tend to get addicted to cute little math puzzles than gPlanarity is a doozy.
gPlanarity is a super-clone of the flash Planarity game written by John Tantalo. The original Planarity ran well in IE and Firefox on other platforms, but was slow and liked to lock up or abort under Linux browsers.
gPlanarity implements gameplay identical to the original Planarity but adds some UI and game extras around the basic game such as multiple board generation algorithms, puzzle boards, complete backing state, group select/drag and so on.
Main features:
- Expand/shrink
- Group select and drag
- Board reset
- Level selection
- Complete backing state
- Leave and come back to any number of boards at any time
- Multiple level generation algorithms
- Puzzles with differing win conditions
- Hide/show lines
- Intersection highlighting
- Undeniable big noodly crunch!
<<lessgPlanarity is a super-clone of the flash Planarity game written by John Tantalo. The original Planarity ran well in IE and Firefox on other platforms, but was slow and liked to lock up or abort under Linux browsers.
gPlanarity implements gameplay identical to the original Planarity but adds some UI and game extras around the basic game such as multiple board generation algorithms, puzzle boards, complete backing state, group select/drag and so on.
Main features:
- Expand/shrink
- Group select and drag
- Board reset
- Level selection
- Complete backing state
- Leave and come back to any number of boards at any time
- Multiple level generation algorithms
- Puzzles with differing win conditions
- Hide/show lines
- Intersection highlighting
- Undeniable big noodly crunch!
Download (1.3MB)
Added: 2006-06-02 License: GPL (GNU General Public License) Price:
1246 downloads
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