Search Results for "model-builder"
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Showing 32 open source projects for "model-builder"
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mTRF-Toolbox
A MATLAB package for modelling multivariate stimulus-response data
mTRF-Toolbox is a MATLAB package for modelling multivariate stimulus-response data, suitable for neurophysiological data such as MEG, EEG, sEEG, ECoG and EMG. It can be used to model the functional relationship between neuronal populations and dynamic sensory inputs such as natural scenes and sounds, or build neural decoders for reconstructing stimulus features and developing real-time applications such as brain-computer interfaces (BCIs). Toolbox Paper: http://dx.doi.org/10.3389/fnhum.2016.00604 Methods Paper: https://doi.org/10.3389/fnins.2021.705621 -
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...Added speak3D_chung_dll a dll to load and display face3D_chung talking avatars in openGL Added face3D libertybasic demo example of calldll in liberty basic . Can be used as mesh editor (adjust texture,scale parts) by load/save as model .
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ScadaBR
Open source SCADA
We are now on GitHub: https://github.com/ScadaBR/ScadaBR ScadaBR is a SCADA (Supervisory Control and Data Acquisition) system with applications in Process Control and Automation, being developed and distributed using the open source model. -
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CYBR-SUITE
Remote Scrum Communication & Collaboration Suite :: Scrum Board & co
The CYSU CYBR-SUITE is a remote Scrum solution with advanced, unique communication capabilities - the CFLX. 1. Sprint Vision Boards → clear OKRs 2. User-Story-Templates 3. Requirement-Templates, 4. Product-Backlog-Item's & Task's assessments, 5. Personality assessments, ...these mandatory ways to add more context & breaking-down complexity enable a better overview and a better understanding - for man and machine... ...based on the standardized structure of the DATA WE ARE NOW... -
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Presage
the intelligent predictive text entry platform
...Presage computes probabilities for words which are most likely to be entered next by merging predictions generated by the different predictive algorithms. Presage's modular and extensible architecture allows its language model to be extended and customized to utilize statistical, syntactic, and semantic predictive algorithms. Presage's predictive capabilities are implemented by predictive plugins. Predictive plugins use services provided by the platform to implement multiple prediction techniques. -
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2D Statistical Models. Building: shape model, texture model and concatenated appearance model; Fitting: 1D profile ASM, 2D profile ASM, direct local texture constrained(LTC) ASM, basic AAM, ICIA AAM, IAIA AAM, etc.
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ICon (Input Configurator) is a Java-based system for managing input devices and building advanced interaction techniques using a dataflow model. It contains a runtime engine, a rich library of input devices, several processing modules and a visual editor.
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...With JMCAD, users can quickly develop software or "virtual" prototypes of systems or processes to demonstrate their behavior prior to building physical prototypes. The user builds his system model by selecting predefined blocks from a block library and simply wiring the blocks together. Each block of the diagram performs a function. Users can also create custom blocks in Java and add them to the JMCAD block library. JMCAD is a block diagram language for creating complex nonlinear dynamic systems.
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DeSR is a multilingual statistical dependency parser. It produces dependency parse trees for natural language sentences using a parsing model learned from annotated corpora.
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Cost-sensitive Classifiers
Adaboost extensions for cost-sentive classification
...Minimum expected cost criteria Input also requires to load an arff file and a cost matrix (sample arff and cost files are uploaded for users' reference) This extension uses weka for classification and generates the classification model along with confusion matrix. For given dataset and cost matrix -
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HMM Speech Recognition in Matlab
A speech recognition system using Matlab/Simulink/Stateflow.
This project provide hidden Markov model speech recognition system by using Matlab/Simulink/Stateflow. -
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KineticaRT V4
Windows software for fast instrumentation and control systems
KineticaRT allows you to build software instrumentation and control systems with fast screen updates, adaptable graphics and easy configuration. It supports simultaneous display and configuration while running. Using it, you can animate meters, gauges, trend graphs and many other items accurately and effectively. KineticaRT achieves its principal design aims of speed and usability by means of configurable display objects - inherently faster than animated user-drawn graphics. Easy to... -
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NeatTools is an object oriented visual programming application which allows users to create data flow networks, read sensors, and display and log data. See http://neattools.org and http://www.neattools.org/wiki for more information.
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PILS is a dynamic, functional programming language with a unified model of data and programs. The name is simply a permutation of Lisp but PILS is definitely not Lisp.
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VisualSNI/VisualSEF is a graphical editor for modeling the SNI diagrams of the MACAO methodology. SNI models users interfaces independently of any HCI technology. VisualSEF fits SNI to a specific model (SEF, SEP, SEA). See http://www.jbcc.fr for more
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VooDoo is a real-time, ICP-based tracking system, intended for the use on autonomous robotic systems. The ability to fuse different sensor inputs into one framework allows for a robust tracking of a simplified cylinder model of an observed human.
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This project concerns K-MADe (Kernel of Model for Activity Description environment), a tool for contributing to the incorporation of ergonomics into the interactive systems design process, through task and activity analysis.
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Shared Substance is a programming framework and middleware for developing distributed interactive application. The environment written in Python, operating on the data-oriented programming model.
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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.
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ASR-Builder provides an easy-to-use interface to the HTK toolkit, that allows users to build ASR systems. ASR-Builder provides a platform that performs house-keeping tasks when using HTK and also provides default training/testing/recognition scripts.
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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).
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The generic adaptivity model engine is a system that allows for easy addition of user modeling functionality to existing systems.
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This is a project which implements the interface of lucene Analyzer to extend its function of coping with the problem of chinese segmentation based on the statistical model(Hiden Marcov Model)
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An agent-based dialogue management system that maintains a probabilistic nested belief model and uses it in the choice of dialogue strategies
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