1920x1080 Nyan Cat вќ¤ 4K HD Desktop Wallpaper fo... Downloads

Home  News  Author  Q&A  Tutorials  Downloads  GEP Biblio  Contacts  Visit Gepsoft

Software Applications

GeneXproTools 5.0 GeneXproTools is a software package for different types of data modeling. It's an application not only for specialists in any field but also for everyone, as no knowledge of statistics, mathematics, machine learning or programming is necessary. GeneXproTools modeling frameworks include Function Finding (Nonlinear Regression), Classification, Logistic Regression, Time Series Prediction and Logic Synthesis.

And if you're only interested in learning about Gene Expression Programming in particular and Evolutionary Computation in general, GeneXproTools is also the right tool because the Demo is free and fully functional for a wide set of well-known real-world problems. Indeed, GeneXproTools lets you experiment with a lot of settings and see immediately how a particular setting affects evolution. For example, you can change the population size, the genetic operators, the fitness function, the chromosome architecture (program size, number of genes and linking function), the function set (about 300 built-in functions to choose from), the learning algorithm, the random numerical constants, the type of rounding threshold, experiment with parsimony pressure and variable pressure, explore different modeling platforms, change the model structure, simplify the evolved models, explore neutrality by adding neutral genes, create your own fitness functions, design your own mathematical/logical functions and then evolve models with them, and even create your own grammars to generate code automatically from GEP code in your favorite programming languages, and so on.

 

Open Source Libraries

GEP4J GEP for Java Project.

Launched September 2010 by Jason Thomas, the GEP4J project is an open-source implementation of Gene Expression Programming in Java. From the project summary: "This project is in the early phases, but you can already do useful things such as evolving decision trees (nominal, numeric, or mixed attributes) with ADF's (automatically defined functions), and evolve functions." GEP4J is available from Google Project Hosting: https://code.google.com/p/gep4j/.


PyGEP Gene Expression Programming for Python.

PyGEP is maintained by Ryan O'Neil, a graduate student from George Mason University. In his words, "PyGEP is a simple library suitable for academic study of Gene Expression Programming in Python 2.5, aiming for ease of use and rapid implementation. It provides standard multigenic chromosomes; a population class using elitism and fitness scaling for selection; mutation, crossover and transposition operators; and some standard GEP functions and linkers." PyGEP is hosted at https://code.google.com/p/pygep/.


JGEP Java GEP toolkit.

Matthew Sottile released into the open source community a Java Gene Expression Programming toolkit. In his words, "My hope is that this toolkit can be used to rapidly build prototype codes that use GEP, which can then be written in a language such as C or Fortran for real speed. I decided to release it as an open source project to hopefully get others interested in contributing code and improving things." jGEP is hosted at Sourceforge: https://sourceforge.net/projects/jgep/.

 

Executables

All the executables from the Suite of Problems. The files aren't compressed and can be run from the command prompt without parameters. (These executables are old and have only historical interest, as they were created to show what Gene Expression Programming could do before the publication of the algorithm.)

Symbolic regression with x4+x3+x2+x
    x4x3x2x-01.exe

Sequence induction with 5j4+4j3+3j2+2j+1
    SeqInd-01.exe

Pythagorean theorem
    Pyth-01.exe

Block stacking
    Stacking-01.exe

Boolean 6-multiplexer
    Multiplexer6-01.exe

Boolean 11-multiplexer
    Multiplexer11-01.exe

GP rule
    GP_rule-01.exe

Symbolic regression with complete evolutionary history
    SymbRegHistory.exe

Sequence induction with complete evolutionary history
    SeqIndHistory.exe

 


1920x1080 Nyan Cat Вќ¤ 4k Hd Desktop Wallpaper Fo... Direct

Fast forward to its 10th anniversary in 2021, and Nyan Cat made history again. Torres remastered the original GIF and auctioned it as an NFT on the Foundation platform , where it fetched 300 ETH (roughly $590,000). This sale helped legitimize the "meme economy," proving that the digital joy shared by millions also held serious real-world value. A Lasting Icon

The Rainbow Legacy: How Nyan Cat Conquered the Internet In April 2011, a 25-year-old artist named Christopher Torres sat down for a charity livestream to raise money for the Red Cross. When viewers suggested he draw a "cat" and a "Pop-Tart," he doodled a hybrid of the two—a gray kitten with a pastry torso—modeled after his own Russian Blue, Marty. Little did he know that this "Pop-Tart Cat" would soon become Nyan Cat, an 8-bit cultural icon that would define a decade of internet humor and eventually sell as a nearly $600,000 NFT . The Birth of a Viral Phenomenon 1920x1080 Nyan Cat вќ¤ 4K HD Desktop Wallpaper fo...

Nyan Cat’s impact went beyond entertainment—it became a landmark for digital intellectual property. In 2013, Torres joined forces with the creator of Keyboard Cat to successfully sue Warner Bros. for using their characters without permission in the game Scribblenauts . This case established that memes could be treated as legally protected property. Fast forward to its 10th anniversary in 2021,

The video exploded overnight, ranking as the fifth most-watched YouTube video of 2011 and earning a Webby Award for Meme of the Year in 2012. It wasn't just a video; it was a digital mood, appearing in TV commercials, video games, and even as a custom progress bar on YouTube. Beyond the Screen: Legal Battles and Crypto Art A Lasting Icon The Rainbow Legacy: How Nyan

While Torres created the visual, the "Nyan Cat" we recognize today was a collaborative accident of the internet. Three days after the GIF was posted, a YouTuber named Sarah June paired the animation with "Nyanyanyanyanyanyanya!," a high-energy Vocaloid track by Japanese producer daniwellP. "Nyan" is the Japanese onomatopoeia for "meow," and the combination of the hypnotic loop and the earworm melody was instantaneous.



Subscribe to the GEP Mailing List

***

Last update: 23/July/2013
  		Candida Ferreira
All rights reserved.