Search Results for "packages" - Page 2
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Showing 42 open source projects for "packages"
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The TUM personal robotics package is a collection of libraries that aims to offer methods for personal robotic assistants to operate successfully in indoor environments.
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pylabrad development has moved to GitHub: https://github.com/labrad/pylabrad Packages are distributed through PyPI: https://pypi.python.org/pypi/pylabrad
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Electrophysiology & circular stats tools
Data analysis and circular statistics with OpenElectrophy and R
...The R library applies circular statistics to spike phase data and saves the best von Mises fit and the Rayleigh statistics on the disk. The wavelet coherence analysis is done in R by the package "sowas". Check the module R_coherence to see how we solved that problem. This packages may be useful for people who start using OpenElectrophy and circular statistics in R. If you find errors, please report them. The project is still in development, so in the future you'll get updates. -
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...Developed with web2py. It uses pure python modules for easy deployment . Math2py requires the mpmath library installed with web2py. Download and unzip mpmath in web2py/site-packages
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Complete manufacturing automation platform for factory and process equipment. It includes multi-protocol communications (including Modbus/TCP), PLC soft logic, HMI, and tools for troubleshooting and installation in 4 comprehensive packages.
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Liegkat-Archiv delivers ALK converters for spatial data formats (EDBS, BGRUND, SQD, DFK, HK) and coordinate systems used in German cadastral agencies before ALKIS into KML and JML. It delivers Python packages and XSL files.
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The CMU personal robotics package offers many robotics algorithms/controllers/drivers that enable robots to perform basic tasks like manipulation and vision. The main infrastructure used is OpenRAVE and Robot Operating System (ROS).
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The Rice Personal Robotics Package is a collection of libraries that aims to offer methods for personal robotic assistants to operate successfully in indoor environments. These libraries are mostly focused on motion planning tasks.
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Pydusa is a package for parallel programming using Python. It contains a module for doing MPI programming in Python. We have added parallel solver packages such as Parallel SuperLU for solving sparse linear systems.
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Tool kit for moving KML formatted Geospatial data into and out of other GIS packages such as ESRI ArcGIS, PostGIS, etc Supports reading and writing Google Earth files via Python and other GIS packages.
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pyHKL is the interface to DENZO/SCALEPACK packages for X-ray crystallography data processing. It runs jobs remotely and aims at minimizing user input, by including automatic error model correction, rejection accumulation and mosaicity refinement.
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PyMaTi is a simple and easy to use GUI for numerical and scientific computing in Python. It surrounds well know packages NumPy and Matplotlib and provides possibility to immediately play with numerical python from intuitive user interface.
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PyVisi is the Python visualisation interface: a generic Python-based interface to many different scientific visualisation packages. PyVisi is intended for use in both standard and high-performance computing environments, and with the escript package.
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Port of Numerical Python to Jython (Java Python) to support all mathematical operations (linear algebra, matrices, DSP, wavelets, FFT, arrays...) and thus compete with commercial packages such as Matlab. It can be easily embedded in Java programs.
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MatPy is a Python package for numerical linear algebra and plotting with a MatLab-like interface. It currently consists of wrappers around Numeric and Gnuplot packages, but eventually may be implemented directly in C/C++, or as interface to Octave.
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Collection of wrappers for textile composite modelling package TexGen and a variation of structural FEA packages (baseline being Calculix) to allow extraction of 3D mechanical property data.
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geoscipy
Python-accessible toolkit for Geoscience & Remote Sensing Applications
...There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. Click the Blog tab for more info.
