Search Results for "tiny-core-plus" - Page 39
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Showing 1507 open source projects for "tiny-core-plus"
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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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MultiViL is a tool for multi-view learning. It supports four classifiers (KNN, Naive-Bayes, Rochio and SVM-Perf), four view combining methods (Majority Voting, Borda Count, Dempster-Shafer theory of evidence and PSO) and provides many analisys tools.
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The Mars Rover Simulator project is based on the evolutionary robotics paradigm where an artificial agent acquires its skills through the process of artificial evolution. This simulator can be useful to evolve neural network controllers for the rover
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Famous card game Marias played most in Central Europe. Algorithm for computer opponent is important.
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Headrand is a static library wrote in c that contains functions to simulate complex systems or make statistical analysis with a new approach called "random function computing"
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Libface is a cross platform framework for developing face recognition algorithms and testing its performance.
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breve is a free, open-source 3D multi-agent simulation package designed for simulating decentralized systems and artificial life.
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Project migrated: https://github.com/arktools This library aims at providing a uniform method for simulation, prototyping, and testing of autonomous robots. It also adheres to the object-oriented paradigm to ease system configuration and development. http://www.youtube.com/watch?v=-wQVrM5SL2o&fe
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Java JNI API for morphological analysis of Russian. Note: C++ JNI code and the core code is at the project http://sourceforge.net/projects/seman/ .
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Porcupine2 is a small wearable sensory unit for logging motion data and doing low-level activity recognition. The project includes electronic schematics for the hardware, software for the microcontroller and client-side software for hardware-interaction.
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The data complexity library, DCoL, is a machine learning software that implements all metrics to characterize the apparent complexity of classification problems. The code is implemented in C++ and can be run on multiple platforms.
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Igovision is an experimental project investigating applications of computer vision technology to the board game Go.
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An implementation of the Memory Prediction Framework. For more information on memory prediction framework (aka HTM – Hierarchical Temporal Memory) go to http://www.numenta.com which is a company of Jeff Hawkins, the inventor of the theory.
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A neural network package for Octave! Goal is to be as compatible as possible to the one of MATLAB(TM).
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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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Simdist lets you harness the power of cluster computing without any knowledge of parallel libraries such as MPI, and with no restrictions on programming language. Primarily targeted at evolutionary computing and similar master-slave configurations.
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UCR is a project name for the development of an handwritten characters in Korean language. The goal is to create a UCR Library for handwriting as well as OCR from off-line, on-line data. And we have a plan to build a UCR library for mobile.
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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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The E* algorithm is a path planner for (mobile) robotics. Unlike A*, which constrains movements to graph edges, it produces smooth trajectories by interpolating between edges. Like D*, it supports dynamic replanning after local path cost changes.
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Parallel Reinforcement Evolutionary Artificial Neural Networks (PREANN) is a framework of flexible multi-layer ANN's with reinforcement learning based on genetic algorithms and a parallel implementation (using XMM registers and NVIDIA's CUDA).
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