Search Results for "matlab to python" - Page 4
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Showing 138 open source projects for "matlab to python"
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ViennaCL
Linear algebra and solver library using CUDA, OpenCL, and OpenMP
ViennaCL provides high level C++ interfaces for linear algebra routines on CPUs and GPUs using CUDA, OpenCL, and OpenMP. The focus is on generic implementations of iterative solvers often used for large linear systems and simple integration into existing projects. -
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EpidermalERKMAPK
Scripts for Modelling Human Epidermal ERK-MAPK Activation
...BMC Systems Biology. doi: 10.1186/s12918-015-0187-6 The model was developed using a set the normalized-Hill differential equation framework, as specified by [Kraeutler, Soltis & Saucerman, (2002). BMC Systems Biology; doi: 10.1186/1752-0509-4-157]. This package includes: - MATLAB code containing the model definition, together with a script to perform non-linear least squares optimisation for a subset of parameters - python scripts which use libSBML to create an SBML representation of the model - SED-ML scripts which execute the SBML model under a range of conditions, produce output plots to recapitulate results shown in Cursons et al. (2015). -
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psignifit is a toolbox to fit psychometric functions and test hypotheses on psychometric data. This is version 3 which will now predominantly support python.
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SCaVis
Scientific Computation and Visualization Environment
SCaVis is an environment for scientific computation, data analysis and data visualization for scientists, engineers and students. The program is fully multiplatform (100% Java) and integrated with Java and a number of scripting languages: Jython (Python), Groovy, JRuby, BeanShell. SCaVis can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear and symbolic regression are also available. Elements of symbolic computations using Octave/Matlab scripting are supported. ... -
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wmtsa-python
Discrete wavelet methods for time series analysis using python
Several python libraries implement discrete wavelet transforms. However, none of them, or at least none that I know, is aimed at scientific use. This library aims at filling this gap, in particular considering discrete wavelet transform as described by Percival and Walden. This module started as translation of the wmtsa Matlab toolbox (http://www.atmos.washington.edu/~wmtsa/), so most naming conventions and most of the code structure follows their choices. -
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sfunctioner is a GUI wizard written in PyQt for creating Matlab Simulink sfunctions quickly and efficiently. It helps creating a fully functional sfunction within a few minutes.
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math lib for .NET. n-dim arrays, complex numbers, linear algebra, FFT, sorting, cells- and logical arrays as well as 3D plotting classes help developing algorithms on every platform supporting .NET. Sources from SVN, binaries: http://ilnumerics.net
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LibppGam
pp->gamma cross sections parametrization
This library contains the parametrization of pp->gamma cross section functions based on Phys.Rev. D90 (2014) 12, 123014 (astro-ph/1406.7369) work. The functions are written in Python, Fortran and Matlab. Please, if you use this library DO NOT reference to this webpage, instead reference to Phys.Rev. D90 (2014) 12, 123014 (astro-ph/1406.7369), "Parametrization of gamma-ray production cross-sections for pp interactions in a broad proton energy range from the kinematic threshold to PeV energies" by Ervin Kafexhiu, Felix Aharonian, Andrew M. ... -
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fPotencia
Power flow library in C++
...Since Power system simulations have started needing to be executed in parallel, the old C-like designs are outdated; modular design is now needed to launch many simulations at the same time based on a base circuit. fPotencia is programmed in C++, but my intention is to bring JAVA, C#, Python and perhaps MATLAB versions of it. All of them in native code and whenever possible with the same modular structure. -
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LWPR
Locally Weighted Projection Regression (LWPR)
Locally Weighted Projection Regression (LWPR) is a fully incremental, online algorithm for non-linear function approximation in high dimensional spaces, capable of handling redundant and irrelevant input dimensions. At its core, it uses locally linear models, spanned by a small number of univariate regressions in selected directions in input space. A locally weighted variant of Partial Least Squares (PLS) is employed for doing the dimensionality reduction. Please cite: [1] Sethu... -
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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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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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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.
