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NLTK — the Natural Language Toolkit — is a suite of open source Python modules, linguistic data and documentation for research and development in natural language processing, supporting dozens of NLP tasks, with distributions for Windows, Mac OSX and Linux.
RapidMiner (formerly YALE) is the most comprehensive open-source software for intelligent data analysis, data mining, knowledge discovery, machine learning, predictive analytics, forecasting, and analytics in business intelligence (BI). RapidMiner provides more than 400 data mining operators, a
Python module to ease pattern classification analyses of large datasets. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge
The Player Project: Player is a networked interface to robots and sensors. Stage and Gazebo are Player-friendly multiple-robot simulators. The software aims for POSIX compliance and runs on most UNIX-like OS's. Some parts also work on Windows.
MARF is an open-source research platform and a collection of voice/sound/speech/text and natural language processing (NLP) algorithms written in Java and arranged into a modular and extensible framework facilitating addition of new algorithms. MARF can run distributedly over the network and may act
Affisix is a program for automatic recognition of affixes. It takes large amount of words and according to the user setting it tries to determine which segments of these words are prefixes.
Yet Another Genetics Simulator Student(s) will design and implement a robust web application using Ruby on Rails to simulate basic genetics of inheritance. The resulting program will allow users to conduct breeding experiments with virtual organisms (e.g., virtual fruit flies) that allow them to
Free software Game Development toolkit made with VB6 and FreeBASIC by a Game Programmer, suitable for teaching 2D game programming.
TestEl is a Java-based learning analyzer for HTML (and possibly other) structured documents. It can be trained to detect structures in such documents and renders hits in XML.
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