Search Results for "matlab to python converter" - Page 3

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.

Charm is a full-featured, cross-platfom blogging client for LiveJournal, Atom (Movable Type, Blogger), and MetaWeb (WordPress). It is console-based, all-text, and can be used entirely from the command line. It is written in Python.

GPS Date Converter (GDC) is a program to convert six different date formats, including: (1) Decimal year, (2) Year, Month, Day, (3) Year, Day of year, (4) GPS Week, Day of week, (5) Julian date, and (6) Modified Julian date. These formats are quiet common in Earth Sciences, specially GPS applications. More information can be found in the GDC website.

Tools for mass spectrometry, especially for protein mass spectrometry and proteomics: Quantification tools, converters for Applied Biosystems (Q Star and Q Trap), calculation of in-silico fragmentation spectra, converter for Mascot result files

im2ascii is a small python script that converts images to ascii-art. Unlike common ascii-art generators, it does not only use each character's mean brightness, but matches the full character shape. Pro: Better ascii-art quality (see screenshots for examples) Con: Matching is very resource intensive Dependencies: Python 2.7, PIL, numpy, scipy

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. ...

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.

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.

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.

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.

Cute Converter is now part of LibreEngineering suite: http://sourceforge.net/projects/libreeng/

A Step Closer to a Fully Gui ATLAS .log Converter A Gui .in Editor to be Used by ATLAS .log awk converter

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.

htc-py converts XML data into HTML web-pages.

KAF2Tiger2 is a KAF (KYOTO annotation format) to <tiger2/> (Tiger2 XML) converter.

OpenPIV is an initiative of scientists to develop a software, algorithms and methods for the state-of-the-art experimental tool of Particle Image Velocimetry (PIV) which are free, open source, and easy to operate.

The Python Computer Vision Framework is an opened project deisgned for all those interested in computer vision. It aims at making computer vision more easy and structured and matlab-free. It may also be used for other artistic and scientific areas.

This is a CSV (Camma Separated Values) to ARFF file format converter script written in python. Just 'Save As' your csv file as 'test.csv' and this script will convert it to 'test.arff' !

Serial/OSC/MIDI converter for monome devices. Similar to MonomeSerial, but platform independent and with additional features. It also includes an API-like suite of Python objects for interfacing directly with monome devices.

FAMOUSO is an event-based publish/subscribe middleware written in C++ for systems ranging from 8Bit micro-controllers up to 32Bit PC/Workstations.

Inter University Multi-Modal Imaging

Thank you for your interest in Speedy Composer. Speedy Composer is an automated application for composing melodies for Speedy Net members. We recently made changes to the source code of Speedy Net, and converted it into the Python language and Django framework. Since Speedy Composer was originally written in PHP, it is not adapted to work with Speedy Net in its current form. So unfortunately we were forced to temporarily close the app Speedy Composer. But don't worry, we kept backups of all...

dbfconverter converts dbf files database into sql code wich you can import into any sql database. It is good for those who works on old database with dbf files and often need to convert all dbf files into sql database.

Spire is a print stream converter/manipulator. It can transform print streams from Metacode to Postscript, Postscript to Metacode. PCL support will be added soon. Spire is also capable of sorting documents (think postal sortation) and added barcodes.

Helps compatibility with Vernier's Graphical Analysis and Logger Pro software. Includes a converter to extract important data out of Vernier .ga3 and .cmbl data files, and spreadsheet to analyze the data with tables, graphs, and curve fitting.