Search Results for "learning classifier system"
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Showing 23 open source projects for "learning classifier system"
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basic_numerical_methods
Didactic application to aid students in learning Numerical Methods;
A practical tool (for students and engineers) to foresee the result of calculus exercises. Calculation and visualization numerical methods for nonlinear equation, ODE, integration, linear system, polynomial fitting,..... -
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MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
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GAAS
Autonomous aviation intelligence software for drones and VTOL
GAAS (Generalized Autonomy Aviation System) is an open source software platform for autonomous drones and VTOLs. GAAS was built to provide a common infrastructure for computer-vision based drone intelligence. In the long term, GAAS aims to accelerate the coming of autonomous VTOLs. Being a BSD-licensed product, GAAS makes it easy for enterprises, researches, and drone enthusiasts to modify the code to suit specific use cases. Our long-term vision is to implement GAAS in autonomous passenger... -
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NIVEL9
Programa para crear y ejecutar Sistemas Expertos
NIVEL9 es el nombre del software informático diseñado por el Ing. Mauricio Ernesto Alfaro, el cual se basa en las teorías de Inteligencia Artificial, específicamente de Sistemas Expertos. NIVEL9 entra en la categoría de "caparazón para sistema experto" o mejor conocido en inglés como "Expert System Shell": es decir un software para crear diferentes Sistemas Expertos y ejecutarlos dentro del mismo software. NIVEL9 nació como un proyecto para apoyar al Instituto de Ciencias del Mar y... -
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This library is aimed at C++ developpers who need to add fuzzy logic to their app. It also provides simple applications to learn rules from data, and to process data. For screenshots, see website.
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AFNER is a C++ named entity recognition system that uses machine learning techniques. It is customisable to various domains. It also allows for multiple and overlapping named entity labels.
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Attitude Estimator
A C++ implementation of a nonlinear 3D IMU fusion algorithm.
Attitude Estimator is a generic platform-independent C++ library that implements an IMU sensor fusion algorithm. Up to 3-axis gyroscope, accelerometer and magnetometer data can be processed into a full 3D quaternion orientation estimate, with the use of a nonlinear Passive Complementary Filter. The library is targeted at robotic applications, but is by no means limited to this. Features of the estimator include gyro bias estimation, transient quick learning, multiple estimation algorithms,... -
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Phrasal
Statistical phrase-based machine translation system
Stanford Phrasal is a state-of-the-art statistical phrase-based machine translation system, written in Java. At its core, it provides much the same functionality as the core of Moses. Distinctive features include: providing an easy to use API for implementing new decoding model features, the ability to translating using phrases that include gaps (Galley et al. 2010), and conditional extraction of phrase-tables and lexical reordering models. Developed by The Natural Language Processing Group... -
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CLSquare
Closed Loop Simulation System
Closed Loop Simulation System (CLSquare) is an integrated architecture to train, test and compare reinforcement learning controllers on different plants. CLSquare provides simulated plants as well as interfaces to real plants. -
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FPGAsm
Create fast bare-metal FPGA designs without Verilog or VHDL
FPGAsm is a low-level alternative to verilog and VHDL. A near-instant 'assembler for FPGAs', this simple yet powerful language facilitates bottom-up design, layout and wiring of modules, and generation of .xdl output. With about 10 keywords to learn, you can start making circuits in minutes. Now you can focus on learning the ins and outs of the FPGA instead of complex tools and languages. Fast turnaround time and bottom-up approach invite exploration, experimentation, live circuit... -
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T3S Tool
Learning Stochastic Discrete Event Systems
Stochastic discrete event system analysis and verification are essential in order to ensure reliability in such systems. However, models that cannot be constructed with an hand-made process need to be learned. Thus, the SDES toolbox proposes an automated solution that is embedded in Matlab to learning and analisis generalized semi-Markov processes. -
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A system that shall predict good days and locations for cross country free flying such as paragliding by comparing current weather predictions with statistics about past weather predictions and flights from online contests.
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Torch5 provides a matlab-like environment for state-of-the-art machine learning algorithms. It is easy to use and provides a very efficient implementation, thanks to a easy and fast scripting language (Lua) and a underlying C++ implementation.
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Content Addressable Memory, Multi-Variate Statistics, Data Mining Includes analyzing datasets, extracting patterns, creating empirical expert system. Computes joint probabilities and implements a "belief" as the solution of an equilibrium equation
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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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Audacity-Extra
dark themed version of free Audacity sound editor
audacity-extra now provides a sleek dark themed version of the Audacity open source sound editor. The project experiments with Audacity variations. There's a vowel-sound target-practice display for language learners and an analog waveform data logger for embedded systems. -
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Structlab is a machine learning C++ framework for structured domains, which provides a toolbox of learning methods and tools for preprocessing and visualization. It also provides a GUI to setup elaborate experiments in a visual and intuitive way.
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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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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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FLPD is an automatic learning system based on fuzzy prototypes, composed of a C++ library for machine learning and fuzzy logic and an experimentation framework.
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GNNS - GNNS Neural Network Simulator, is both a set of libraries and an interface for creating and learning neural networks. It is aimed to support as many network typs and learning algorithms as possible. GNNS is meant to support different platforms.
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Personal Weather Station
My Weather: Personal weather station for educational purpose
Personal Weather Station is a simple educational project used for learning various skills in electronics and programming. The station will collect the data using a couple of sensors connected to a micro-controller. Collected data will be uploaded to an online weather server where visitors can see the collected data. Multiple stations can send data to the weather website and visitors can select which station to see using a simple search or selecting from a map. Sensors: - Precipitation...
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