Search Results for "python-ldap" - Page 4

Software for tiled panorama video projection with multiple projectors.

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...

Inter University Multi-Modal Imaging

A cross-platform library that computes fast and accurate SIFT image features. libsiftfast provides Octave/Matlab scripts, a command line interface, and a python interface (siftfastpy). Optimized with SIMD instructions and OpenMP .

MATmute is a MATLAB code mutation system targeted at developers of scientific software. The package includes a mutator, a MATLAB function to call the mutator and run the mutants, and some examples to demonstrate how to use the system.

A high-level python to matlab(tm) bridge. Let's matlab look like a normal python library.

The NUMIPAD library implements several methods/algorithms to solve inverse problems and adaptive decomposition (i.e. Tikhonov regularization, Total Variation, Basis Pursuit, etc.)

Axon Library (libaxon) is an Open Source, cross-platform, C++ library for reading files in Axon Binary Format. Currently only ABF2 is supported. Additionally, project include binders for Python and Matlab.

Liberate your MATLAB code with LiberMate. Translate your software to free (libre) Python and the SciPy package. Are you a graduating student loosing access to MATLAB or an institution needing to share/collaborate scientific software with others.

Client libraries for the D-Wave Orion Web Service

This program has been written having in mind to create an useful tool to evaluate the Motor Evoked Potentials (MEPs) generated by Transcranial Magnetic Stimulation (TMS) and recorded with the program "Signal" (version 2.xx).

A scientific enterprise to try to learn basic patterns using directed acyclic graphs.

Follow us on www.openpiv.net and Github: http://github.com/openpiv

Open-source content and evaluation framework for music transcription systems. Can be used as monophonic or polyphonic database, through software mixing.

RYUON : many-particle simulation suite

Quick reference for switching between mathematical computation environments for computer algebra, numeric processing and data visualisation. Examples are Matlab, IDL, SPlus, and their open-source counterparts Octave, Scilab, Python+NumPy and R.

Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.

Esra is a 100% pure java library for the interactive analysis of molecular mechanics data. Mangles your data in your favorite scripting language.

Simulating morphogenesis in developmental biology

This is a collection of different little tools written in MATLAB, JAVA, Python. They all have to to do with Imaging & Microscopy for life science research and related topics or problems. Some of them are meant to be used with ImageJ and MicroManager.

Central schemes offer a simple and versatile approach for computing approximate solutions of non-linear systems of hyperbolic conservation laws and related PDEs.

nBoost is a suite of boosting algorithms designed to solve binary classification problems on data that is not linearly separable by a convex combination of base hypotheses, i.e. noisy data. WARNING: Active development. Underlying algorithm is unstable.

UANA (Universal Abstract Numerical Algorithm) is a c++ api for developers to write algorithms independant of the underlying data container classes.

VectTens is an object-oriented numerical library designed to manipulate vectors, tensors, and other mathematical quantities in a simple and efficient manner.

This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.