Search Results for "research" - Page 55
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Showing 2867 open source projects for "research"
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The MeVisLab Community project provides add-on modules that extend the functionality of the MeVisLab software. The modules are provided and maintained by the MeVisLab developer community and can be compiled with the public MeVisLab SDK.
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Point Cloud Skinner for Blender
Python script (addon) for Blender to skin point cloud (verts to face).
What is Point Cloud Skinner? This is a Python script for Blender 2.6x or later and allows you to create a surface from just a cloud of vertices. You can get a complete 3D mesh with faces on it out of just a point cloud that has only vertices and no faces. Please watch the video to get the idea of what the script can do for your artwork. Features: This script, Point Cloud Skinner can skin a cloud of vertices, which means to create a 3D surfaced mesh out of just a cloud of vertices... -
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Mathpad
A Python based command line math utility.
Mathpad is a command line utility. It will later have a GUI, but not at this time. -
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STARucn
Monte-Carlo simulation for ultra-cold neutrons
STARucn (Simulation of Transmission, Absorption and Reflection of ultracold neutrons) is a Monte-Carlo software designed to simulate experimental setups and guides for ultra cold neutrons. It relies heavily on CERN's ROOT packages. Developing team : Benoit ClƩment, LPSC/UJF Damien Roulier, ILL/UJF -
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MyBeggar
Help to manage current docs (small DMS)
...You enter the document in the system through addDoc box. It will perform a copy of original file and places it in predefined directory. When you want to find it, a short research will provide all documents links with provided parameters . You just have to double click on the result, and the system will open it with appropriate software. There is a benefit with this software: you can share data between few different computers and it's available from different OS. By example, you place db and archive directory in shared place, and you can manage it from different computer. ... -
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The General Hidden Markov Model Library (GHMM) is a C library with additional Python bindings implementing a wide range of types of Hidden Markov Models and algorithms: discrete, continous emissions, basic training, HMM clustering, HMM mixtures.
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LaTeX Helper
GUI to help create a LaTeX document
This GUI lets the user navigate a wide selection of LaTeX structure and formatting tags that are used to write a document in LaTeX. It also has a raw text input box with a LaTeX preview for testing out LaTeX markup. Also, each markup has associated help text and is automatically selected to be ready to paste into the user's text editor. Also, this GUI lets the user choose which text editor and supporting programs are used to create their LaTeX document instead of forcing them into a... -
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Ones and Zeros
Binary clock with transparent background
Minimalistic binary clock with a transparent background, written in Python using the GTK3 tool kit. Add compiz window rules (or equivalent) for skipping the pager, sticking below, etc. if you'd like. -
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iTag
Tag images using various categories and modifiers
iTag has been designed for researchers that rely on photographic census techniques of animals that are hard to detect via image recognition algorithms and was originally developed for counting Grey Seals in the German wadden sea during March 2013. It has since then been further expanded and has now reached beta status. iTag allows Users to define up to 9 different categories and name them accordingly. In addition, 4 modifiers are available to further increase the options during a tagging... -
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Based on the Qt Python binding module PyQt4, guidata is a Python library generating graphical user interfaces for easy dataset editing and display. It also provides helpers and application development tools for PyQt4.
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Based on PyQwt (plotting widgets for PyQt4 graphical user interfaces) and on the scientific modules NumPy and SciPy, guiqwt is a Python library providing efficient 2D data-plotting features (curve/image visualization and related tools) for interactiv
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mwetoolkit
THIS PROJECT MIGRATED TO https://gitlab.com/mwetoolkit/mwetoolkit3/
THIS PROJECT MIGRATED TO https://gitlab.com/mwetoolkit/mwetoolkit3/ The Multiword Expressions toolkit aids in the automatic identification and extraction of multiword units in running text. These include idioms (kick the bucket), noun compounds (cable car), phrasal verbs (take off, give up), etc. Even though it focuses on multiword expresisons, the framework is quite complete and can also be useful in any corpus-based study in computational linguistics. The mwetoolkit can be... -
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memesa-tools
A collection of tools used in the enumeration of solution spaces
This collection of tools forms the basis of a pipeline for the complete enumeration of the number of solutions present in a model that maximizes a single objective function. -
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aCompute
Aims to enable researcher to tap in to mobile computing capability
...new resources can be added and removed from the system on fly; in layman terms the project will create an agent program that enable sharing & execution of program among all the available resources whether it be desktop, laptop, pda . thereby one can accelerate research to the very extent of resource availability with out bothering about anything... C++11v Upcoming. -
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StochPy - Stochastistic modeling in Python - is an easy-to-use package, which provides several stochastic simulation algorithms and unique analysis techniques, which can be used for stochastic simulations of biochemical systems.
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Acronym for camera light sensor. A python program that calculates ambient brightness and sets screen's correct backlight using a camera.
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eSBMTools
python tools for enhanced native structure-based modeling
eSBMTools: python tools that assist the setup and evaluation of native structure-based simulations of proteins and nucleic acids, both at the CĪ± and all-atom level. The tools interface with GROMACS and support its standard output formats. Information from other sources like bioinformatics or experimental data can be added to the standard native structure-based model (SBM). Publication to be cited: Benjamin Lutz, Claude Sinner, Geertje Heuermann, Abhinav Verma, and Alexander Schug.... -
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Brain Workshop
Python implementation of the Dual N-Back mental exercise
Brain Workshop is a Python implementation of the Dual N-Back mental exercise. This exercise is the only mental activity that has been scientifically shown to improve your short-term memory (working memory) and fluid intelligence. -
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TinkerCell is a software for synthetic biology. The visual interface allows users to design networks using various biological "parts". Models can include modules and multiple cells. Users can program new functions using C or Python. www.tinkercell.
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UV-CDAT
Ultrascale Visualization Climate Data Analysis Tools
Ultrascale Visualization Climate Data Analysis Tools (UV-CDAT), is a powerful and complete front-end to a rich set of visual-data exploration and analysis capabilities well suited for climate-data analysis problems. -
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A toolkit in C++ and python to process both experimental and simulation data of colloidal particles. Includes among others * a multiscale particle tracking algorithm [1] whose C++ implementation is optimised for 3D confocal data. Python implementation is more versatile (2D and 3D data). * a Leica file reader, * Steindhard bond orientational order calculation * a VTK file writer 1. Leocmach, M. & Tanaka, H. A novel particle tracking method with individual particle size measurement...
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Smart-grid Common Research Emulator (SCORE) captures the behavior and interactions of power networks and communication networks and emulates Smart Grid applications in an integrated and scalable environment. The researchers can verify the correctness of their new Smart Grid applications on a few devices and then use SCORE for large scale evaluation and performance prediction studies.Also, they can use SCORE to evaluate and validate the design and performance of their Smart Grid applications before large-scale deployment.
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Stochastic Rule Builder (SRB)
Modeling framework for capturing positional and temporal dynamics
We present a modeling framework aimed at capturing both the positional and temporal behavior of transcriptional regulatory proteins. There is growing evidence that transcriptional regulation is the complex behavior that emerges not solely from the individual components, but rather from their collective behavior, including competition and cooperation. Our framework describes individual regulatory components using generic action oriented descriptions of their biochemical interactions with a...
