Search Results for "learning" - Page 94
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Showing 2456 open source projects for "learning"
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This is a inference and learning engine for a first order probabilistic modelling language focussed on allowing efficient ILP inference.
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A tool for segmenting objects of interest in images, namely creating masks, and storing them for a set of images. It may provide some automatic/interactive segmentation for certain classes of objects. For computer vision / machine learning applications.
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The project implements Dana Angluin's learning algorithm with intent to look into the possibility of computational learning of changing (shifting) information.
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BabyTALK is to add another brick in the wall of natural languages learning. The baby needs to structure a corpus of texts when his tutor points and talks about a particular part of the corpus. The baby is also to describe any selected part of the corpus.
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KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for data mining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.
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mlearn is a gradient based learning toolbox for matlab. While it is fairly simple to build a neural network, it is designed for ease of implementing new kind of gradient based architecture.
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An AI sandbox for learning game programming. It includes an integrated development environment, and functionality for rapid development of virtual characters.
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This project aimed at creating framework and binary data format for etymological Arabic system. and will not continue hosted at sourceforge because the term of use determine me as enemy, so I am prohibited from using sourceforge services.
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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...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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A free multilanguage self-learning translator & dictionaries. Command-line & GUI. Requires Perl. Runs on Unix, Linux, Windows, Mac OS 9, Mac OS X.
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A Java implementation of the NEAT algorithm as created by Kenneth O Stanley. Also provides a toolkit for further experiments to be created and can provide both local and distributed learning environments.
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WHEREAMI is an intelligent and self-learning network detection and configuration utility. With this capability, a user can just walk to a network range and WHEREAMI will self determine and connect to that network with relevant policies.
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A Neural network based, handwriting recognition software who's aim is to have a cursive OCR software. Although it is used in handwriting recognition, it can be used as well for creating Neural Networks and learning of those networks.
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A learning package for children, helping them to learn a foreign language. Techniques such as speech recognition will be used.
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CAIR is an e-learning project that allow users and subjects management. You can associate pupils and teachers to subjects and works for this subjects. There are special functionalities for those subjects related to Robocup development.
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In imitative learning, an agent will attempt to match what is observed to their memory. By visualizing the incorrectly matches "scenes", this project will allow algorithm developers to gain a better understanding of what causes their algorithms to fail.
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An object-oriented platform and algorithms for the game of GO. Aims: 1) A capable engine that can learn through experience. 2) A re-usable algorithmic framework for rapid development of new GO-playing engines.
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PCP (Pattern Classification Program) is an open-source machine learning program for supervised classification of patterns. PCP is a binary executable running on Linux and Windows (under Cygwin environment).
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HOPEN (Hopfield Open Network) is a program for patterns recognition based on a Hopfield Artificial Neural Network. It can learn using Hebb's Rule, Iterative Learning Scheme and Repeated Hebbian Learning.
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MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning. The code is well documented and easy to extend, especially for adding new weak learners.
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General purpose agents using reinforcement learning. Combines radial basis functions, temporal difference learning, planning, uncertainty estimations, and curiosity. Intended to be an out-of-the-box solution for roboticists and game developers.
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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
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The Open Source Probabilistic Networks Library is a tool for working with graphical models. It supports directed and undirected models, discrete and continuous variables, various inference and learning algorithms.
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The Cross-platform A. I. Framework For Everyone's Incredibly Nerdy Enjoyment (Caffeine) project is an attempt to simplify the process of learning AI programming.