Search Results for "matlab to python" - Page 5
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Showing 167 open source projects for "matlab to python"
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PANDA
Passing Attributes between Networks for Data Assimilation
...PANDA integrates multiple sources of biological data, including protein-protein interaction, gene expression, and sequence motif information, in order to reconstruct genome-wide, condition-specific regulatory networks. PANDA is also available in other programming languages, including: MATLAB/Octave: (1) https://drive.google.com/a/channing.harvard.edu/file/d/0BwVdzX3nIj6RamtmNVdKYVk1N2c/view?usp=sharing (2) https://github.com/QuackenbushLab/matlab-panda Python: (1) https://github.com/davidvi/pypanda (2) https://github.com/QuackenbushLab/pypanda Bioconductor/R: http://www.bioconductor.org/packages/devel/bioc/html/pandaR.html For more information please see: https://sites.google.com/a/channing.harvard.edu/kimberlyglass/tools/panda or email kimberly dot glass at channing dot harvard dot edu -
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pymatlab
A pythonic interface to MATLAB
This package lets Python users interface and communicate with MATLAB from Python. Pymatlab makes it easier for users to integrate a project with a large MATLAB codebase into python scripts by using MATLAB scripts as a part of the python program. The basic functionality of this package is to send data from Python to MATLAB's workspace to be able to run Matlab function on the data. ... -
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GISBox by Citiviz
Ready-to-use appliance for GIS, Data Mining and Analysis, Modelling...
GISBox by Citiviz is a ready-to-use virtual appliance containing an assortment of powerful, free and open source GIS, Data Mining and Analysis, Modelling and Programming software and packages. The pre-configured and tested GISBox allows you to try and use in few minutes a variety of software used by data scientists, engineers, physicists, mathematicians, geomatics engineers, and geographers from around the globe, without installing anything more than once the Oracle VirtualBox™ software... -
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CogPy
Cognitive Python
Cognitive Python is a cross-platform library for designing and conducting psychological experiments in Python. A few of its main features are: - A full-featured 2D display library for rapid development - Full control of computer I/O (display, mouse, keyboard, gamepad, joystick, audio) - Advanced library of data collection techniques - Data export to NumPy/SciPy, R, MATLAB, and Microsoft Excel - Compatibility with PyACT-R for cognitive modeling If you are interested in contributing to the CogPy project, contact the lead developer, Jasper Danielson, at jrd4@rice.edu. -
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Constrained Manipulation Planning Suite
openrave plugins for constrained manipulation
...The planning and inverse kinematics algorithms in this suite are designed for articulated robots like robotic arms and humanoids. CoMPS is implemented in C++ and compiles in linux only. There are also several examples in python and matlab that show how to interface with openrave to use the plugins in CoMPS. It has been tested on all Ubuntu version from the last few years and will probably work with most modern linux distributions. Please see the wiki for installation and examples: https://sourceforge.net/p/comps/wiki/Home/ -
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HdfUtil is a collection of utilities to ease the exchange of HDF5 files between C++, Matlab and Python. The long term goal is integration into the main HDF5 distribution.
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PyMbs has moved to Bitbucket: https://bitbucket.org/pymbs/pymbs PyMbs is a Python library for modelling holonomic multibody systems. It is able to generate simulation code for Python, Modelica and Matlab.
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Moved to https://github.com/rdiankov/openrave An open-source, cross-platform, plugin-based robot planning environment for autonomous robotics. Includes services like collision detection, physics, (inverse) kinematics, sensors, robot controls, python bindings, and a network scripting environment.
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BRAHMS is a Modular Execution Framework for dynamical systems. It knits together independently-authored software modules implementing dynamical processes into an integrated system, and supervises the deployment and execution of that system.
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CplexA is a software package (available for Mathematica, Python, and Matlab) to compute probabilities and average properties of macromolecular assembly and its effects in gene regulation.
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A C++ library for the computation of bifurcation diagrams: it provides tools for the integration of systems of ODEs that depend on parameters. A Python interface is included.
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ezSlice
A C++ class to parse array index slice strings as in Python or MATLAB.
This is a templated, self-contained, single header implementation C++ class for parsing array slice operator strings that specify a min, max, and stride, such as "1:10:2", "::3" or "-1,-5,-2". There is an option to use any offset based indexing desired, such as 0-based for C/Python arrays, or 1-based for Fortran/MATLAB indexing. Reverse indexing is allowed, as well as relative to an array end. This class won't do the actual slice/sampling of an array; instead it only parses a string and returns the index limits and stride, or an STL vector of indices if desired. -
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Compilation of Physics Calculators
A compliation of Physics derived claculators
A NEW GUI VERSION WILL BE RELEASED SOON! Thank you for visiting the Physics Calculator, provided by PIezoSystems Inc., please visit their company website at https://piezosystems.org. For other downloads, please visit our github page, https://github.com/PiezoSystems. We hope that you find this program useful and easy to use, for troubleshooting, please email us, contact@piezosystems.org. If any bugs were found, please email us at bugs@piezosystems.org. -
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niftilib
** MAIN SITE IS NOW: https://github.com/NIFTI-Imaging/nifti_clib **
niftilib is a collection of i/o routines for the nifti1 neuroimage data format. C (nifticlib), Java (niftijlib), Matlab (niftimatlib), and Python (pynifti) code is available. For nifti format info see: http://nifti.nimh.nih.gov/ -
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Stanford Machine Learning Course
machine learning course programming exercise
The Stanford Machine Learning Course Exercises repository contains programming assignments from the well-known Stanford Machine Learning online course. It includes implementations of a variety of fundamental algorithms using Python and MATLAB/Octave. The repository covers a broad set of topics such as linear regression, logistic regression, neural networks, clustering, support vector machines, and recommender systems. Each folder corresponds to a specific algorithm or concept, making it easy for learners to navigate and practice. The exercises serve as practical, hands-on reinforcement of theoretical concepts taught in the course. ... -
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yaUFget
Yet Another Python Interface to the UF sparse matrix collection
The package yaUFget is yet another interface to the collection of sparse matrices at the University of Florida for Python. In contrast with the official Python interface it can be easily used as a package and can be imported to any place, obtains the updated index of matrices from the collection's web site and does not require MATLAB. The functionality of the MATLAB's interface UFget was preserved. -
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Ctrax is now hosted on Sourceforge (http://sourceforge.net/projects/ctrax). This Berlios site will no longer be maintained.
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INI-ML
Collection of Machine Learning code from the INI
The idea is to get some working demos up there (in matlab/python/whatever) that people can use as a start for machine learning / simulation projects. -
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NeMo is a high-performance spiking neural network simulator which simulates networks of Izhikevich neurons on CUDA-enabled GPUs. NeMo is a C++ class library, with additional interfaces for pure C, Python, and Matlab.
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gvpp - Velocity Prediction Program
VPP - Velocity Prediction Program
VPP - Velocity Prediction Program - a Matlab library for sailing boat performance simulation. Based on DSYHS or user provided data. ###### A python version is currently under development and available upon request, please contact me at gianmail+gvpp@gmail.com ###### The new beta version replaces the previous alpha version after some bugs fixing and enhancements in the postprocessing output. -
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Note: This project is no longer maintained. An updated pure Python and experimental MatLab versions are located at https://github.com/robb-brown/GFT. The Fast S-Transform package implements a novel algorithm that solves the S-Transform with O(NlogN) computational complexity. This Fast S-Transform algorithm is fully invertible, and requires only O(N) storage space.
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This is a c-library that provides tools for advanced analysis of electrophysiological data. It features denoising, unsupervised classification, time-frequency analysis, phase-space analysis, neural networks, time-warping and more.
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This is an editor for the pylab package. This editor work with ipython shell and pylab, and it enables us to run a script file or selection lines easily. It is suitable for writing a small script for daily scientific/engineering/academic report.
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This is a Content Based Image Retrieval Interface with only color features implemented. This is part of a thesis work to analyze the different color features and observe the performance on mainly corel5k images.
