Search Results for "learning classifier system" - Page 4
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Showing 121 open source projects for "learning classifier system"
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Weekend-robotics enables the dedicated amateur to build a autonomous robot. It runs on a Linux system for high-level operations and offers an interface to the defacto standard hardware abstraction layer in robotics, Player/Stage.
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Working with microprocessors is one of the most creative, challenging and rewarding areas of electronic and software engineering. Open-USB-IO makes learning this process fun and easy.
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Using Machine learning model to generate new Chinese Font family from an ancient calligraphy masterpiece automatically.
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l7-filter classifies packets based on patterns in application layer data. This allows correct classification of P2P traffic that uses unpredictable ports as well as standard protocols running on non-standard ports.
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Self-Adapting Large-scale Solver Architecture: system for picking numerical algorithms (linear system solving) based on statistical modeling and machine learning.
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A packet dissector driven by machine learning algorithms. You train it to recognize specific types of packets by showing it examples and counterexamples of some packet type, and it will figure out which bits in the packet define it as the type you seek.
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A tool for learning and practicing morse code, for passing amateur (ham) radio license exams. Converts supplied text to code sounds, or generates random symbols. Speed and farnsworth compression are adjustable. Written in C for Linux or other computers.
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Real Time Minix is an operating system designed for experimenting and learning Real Time OS concepts. This OS is the modified version of Minix3.1.3 and Minix4RT. Also interested learners can become developers.
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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NWrapper was built to be a quick wrapper for storing and executing multiple NMap commands (using SQLite), but it can do a lot more. Also, it was a way for me to start learning C (hence the lack of data structures or anything fancy).
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Turbo C' graphics libraries which are available on DOS. Ported on X platform by using X Window System. So students who are learning Turbo Graphics can work around on X environment with better graphics programming features.
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Genesix is a kernel for the x86 (386+) architecture. Written mostly in C and assembly, it is targeted to learning kernel architecture and development essentials.
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ext2demo is user space utility for reading (also writing in the future) ext2 filesystem. I am writing it primary to learning the ext2/ext3 filesystem internals, but i hope it can be useful for others as well.
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Protical5 - A 32-bit hobby OS for the x86 processor. Coded in assembly and C, this project aims for no compliance with any OS standards or special performance. A project based solely on the ideas of having fun and learning.
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AISK is an acronym for Artificial Intelligence Spam Killer. It is a server side filter that acts as a kind of PROXY and uses SMTP to communicate with MTA. Main decision mechanism is based on artificial neural network capable of finding patterns, learning
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With this project I intend to write a really, really simple OS, just for fun and learning. I think I will never have a really usable version, as I said, that's no my objective.
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ChNIMotion allows user programs to use the FlexMotion C library and run on the fly without compilation. It's an ideal solution for teaching and learning motion control, rapid prototyping, interactive motion control, and Web-based remote motion control.
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A fast decision tree program featuring distributed ensemble learning across multiple processors using MPI. Has been run on 1 cpu, small clusters, and the ASCI Blue supercomputer. Ensembles are often more accurate than their single classifier counterparts
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Artificial vision library. Objectives are to make an OCR, fingerprint and face identification as some applications through a general purpose learning and pattern relationships algorithm (Currently performs very basic identification).
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ChNIDAQ allows user programs to use the NI-DAQ C library and run interpretively without compilation. It is an ideal solution for teaching and learning data acquisition, prototyping, and web-based remote data acquisition.
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CompLearn is a general-purpose compression-based machine learning system that uses data compression to learn or data mine patterns in arbitrary data.
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KED (The Key Editor) is a compact, multibuffer, ncurses-based text-editor with key learning and support for copying selections to X programs.
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The TreeQ package is a set of C-language applications that implement a automatic machine learning algorithm based on a tree-structured classifier. This approach is particularly effective for high-dimensional continuous data such as audio and video.
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A "flash card"-like vocabulary learning program with a comfortable handling of several translations and score management.
