Search Results for "learning classifier system" - Page 2

Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind. Caffe2 is a deep learning framework that provides an easy and straightforward way for you to experiment with deep learning and leverage community contributions of new models and algorithms. You can bring your creations to scale using the power of GPUs in the cloud or to the masses on mobile with Caffe2’s cross-platform...

Ruby Hail is Rack-based nano framework. It's the fastest-by-design Rack-based framework. It requires less learning (besides Rack, you suppose to know it by this time) than any other framework. It works great for simple dynamic web-sites, single-page web-apps and microservices.

The DotNetWikiBot Framework was developed so that it can offer a helping hand with many complicated and routine tasks of wiki site development and maintenance. DotNetWikiBot Framework is a cross-platform full-featured client API, that allows you to build programs and web robots easily to manage information on MediaWiki-powered sites. DotNetWikiBot Framework can also be used for learning C# and .NET.

FAT-FREE is a powerful and lightweight PHP 5.3+ Web application framework designed to help you build dynamic and robust Web sites - fast! Unlike other PHP frameworks, Fat-Free aims to be usable - not usual.

Yet another (different) framework. Examples around Apache Cayenne. Using different technologies like Apache CXF Google Web Toolkit EJB Apache Wicket Eclipse RCP Java ANSI C Perl Python Bash WE MOVED TO GITHUB.COM !! All sources are now in git on github.com - search for yafra project. Thanks sf.net for the very good service in the past - but now it was time to move on!

This project contains a framework, built to be used in a Digital Game Design Undergraduate course. Such framework allow a better learning of object-oriented principles by first-grade students.

Self Organization of an adaptive learning framework for pervasive graph structures from grids, utilities to semantic governance. Business, performance and provisioning assurance are converged with EGA, ITIL, eTOM,SOX, HIPPA, CobiT and AC

Hippal is an integrating GUI-framework for a multimodular symbolic A.I.-system IPAL, which combines A.I. Planning, Inductive Program Synthesis, Analogical Reasoning and Learning. Hippal is client-/server-based and uses the Lili Lisp Interpreter as Centr

The aim of SerenoCMS is to form a web development framework that provides maximum functionality with ease of modification. We want to create a minimal learning curve, but eliminate most of the mundane tasks associated with developing complex Web sites.