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Spirit, a different way to write! You guide your mouse through streams of predicted words. As the intelligent agent learns your writing style, its predictions become more accurate. You can prime Spirit with the prose and poetry of any author!
PyCV is a Python package of modules useful for computer vision tasks. Its current focus is on boosting techniques, Haar-like features, and face detection. PyCV provides the world's fastest method for training a face detector, in a few hours.
TRINDIKIT is a toolkit for building and experimenting with dialogue systems based on information states, that has been developed in the TRINDI and SIRIDUS projects.
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
This project contains a collection of robotics algorithms and data-processing tools developed and maintained by researchers in the Stanford AI Laboratory (SAIL). The project uses the infrastructure provided by ROS to encourage modularity and reusabil
Scalable Language API (SLAPI) The most comprehensive architecture for conversational natural-language applications including speech recognition/synthesis, semantics, & machine translation. Used on Android & other mobile app platforms.
D.U.C.K (Determine segmentation of Unknown words by using Context Knowledge)is an NLP tool, which aims to find the correct segmentation for unknown words in written Hebrew. Statistics from different scopes will be used to determine the segmentation.
A three-step approach towards experimental brain-computer-interfaces, based on the OCZ nia device for EEG-data acquisition and artificial neural networks for signal-interpretation.
The Neurpheus Morphological Analyser performs morphological analysis, stemming or word form generation tasks using sophisticated classification methods for an analysis of words unseen in a training dictionary.
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openEAR is the Munich Open-Source Emotion and Affect Recognition Toolkit developed at the Technische Universität München (TUM). It provides efficient (audio) feature extraction algorithms implemented in C++, classfiers, and pre-trained models on well-known emotion databases. It is now maintained and supported by audEERING. Updates will follow soon.
Active Shape/Appearance Model Library (ASMLibrary/AAMLibrary) source code, which includes ASMBuilding/AAMBuilding as well as ASMFitting/AAMFitting algorithm. It is developped under OpenCV 1.0 for locating features in a face and face recognition.
Applications contributed for URBI (Universal RealTime Behoavior Interface). URBI is a scripted command language used to control robots (AIBO pioneer..) as well as a robot-independant execution and developpement plateform. www.urbiforge.com www.gostai.com
AKtive Media is an ontology based cross-media annotation (Images and Text) system. Our goal is to automate the process of annoation by suggesting knowledge to the user in an interactive way while the user is annotating and hence minimizing user effort.
CherBot is an information bot for Crossfire, Daimonin and good old plain IRC that keeps track of which players collect which items, who's been online, determines a level ranking, provides a mail system for mailing offline players, manages clans and
This project aims to develop a parser for Finnish. The parser and the system of grammatical competence assumed herein, are based on the minimalist theory of grammar (Chomsky 1995, 2005) and Bare Lexicon Hypothesis (Brattico, in prep).
This is a suite of several software agents to provide a complete architecture of lexical base as proposed in Didier Schwab's PhD. thesis. It will be used for automatic translation, information retrieval and other natural language processing tasks.
MIARN(Modules for Intelligent Autonomous Robot Navigation) is a project of robotics perception and interaction. We provide a gui for controlling and visualizing playerstage.sf.net sensors and opencv algorithms
This project is to share my work in visual recognition of gestures. It shows how I have implemented person detection, color adaptation and tracking of the user's right-hand, gesture feature extraction, etc. using a single videocamera.