Download Shareware and Freeware Software for Windows, Linux, Macintosh, PDA

line Home  |  About Us  |  Link To Us  |  FAQ  |  Contact

Serving Software Downloads in 976 Categories, Downloaded 29.892.956 Times

Modular toolkit for data processing 2.1

  Date Added: May 10, 2013  |  Visits: 402

Modular toolkit for data processing

Report Broken Link
Printer Friendly Version


Product Homepage
Download (32 downloads)



Modular toolkit for Data Processing (MDP) is a Python data processing framework. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA), and Gaussian Classifiers. From the user's perspective, MDP consists of a collection of trainable supervised and unsupervised algorithms or other data processing units (nodes) that can be combined into data processing flows. Given a sequence of input data, MDP takes care of successively training or executing all nodes in the flow. This structure allows to specify complex algorithms as a sequence of simpler data processing steps in a natural way. Training can be performed using small chunks of input data, so that the use of very large data sets becomes possible while reducing the memory requirements. Memory usage can also be minimized by defining the internals of the nodes to be single precision. From the developer's perspective, MDP is a framework to make the implementation of new algorithms easier. The basic class 'Node' takes care of tedious tasks like numerical type and dimensionality checking, leaving the developer free to concentrate on the implementation of the training and execution phases. The node then automatically integrates with the rest of the library and can be used in a flow together with other nodes. A node can have multiple training phases and even an undetermined number of phases. This allows for example the implementation of algorithms that need to collect some statistics on the whole input before proceeding with the actual training, or others that need to iterate over a training phase until a convergence criterion is satisfied. MDP has been written in the context of theoretical research in neuroscience, but it has been designed to be helpful in any context where trainable data processing algorithms are used. Its simplicity on the user side together with the reusability of the implemented nodes make it also a valid educational tool.

Requirements: No special requirements
Platforms: Windows, Mac, *nix, Mac OSX, Linux, Python , BSD Solaris
Keyword: Data Data Processing Gaussian Gaussian Classifiers Principal Component Analysis Processing
Users rating: 0/10

License: Freeware
USER REVIEWS
More Reviews or Write Review


MODULAR TOOLKIT FOR DATA PROCESSING RELATED
Communication  -  CellSort 1.0
This toolbox includes routines for using principal component analysis (PCA) and independent component analysis (ICA) to extract cellular signals from imaging data sets. A full description and validation of the method is provided in the paper,...
337.92 KB  
Science  -  MPCA 1.57
MPCA is a comprehensive suite of tools for doing discrete principal components analysis on data sets of size 100Mb or more. Scaling is done using sparse vectors, multi-threading, memory mapping, and other POSIX tricks. Reports, file dumping...
2.8 MB  
Development Tools  -  Active Shape Model (ASM) and Active Appearance Model (AAM) 1.0
This is an example of the basic Active Shape Model (ASM) and also the Active Appearance Model (AAM) as introduced by Cootes and Taylor, with multi-resolution approach, color image support and improved edge finding method. Very useful for automatic...
9.88 MB  
Database Tools  -  K Database Magic 2.8.3.1
Database Desktop, SQL manager, merge data, data comparison and many more function in one software. It accomodate a simple admittance to datasets like other database handling products. Firstly it doesn't concentrate maintenance of datasets, but...
6.29 MB  
Development Tools  -  Generalized Principal Component Pursuit 1.0
This is a generalized version of Principal Component Pursuit (PCP) where the sparsity is assumed in a transform domain and not in measurement domain. Moreover the samples obtained are lower dimensional projections. Inputs y - observation (lower...
10 KB  
Development Tools  -  Principal Components Analysis in MATLAB 1.0
A script containing the methods used to develop a principal components analysis in MATLAB is presented. The results are analyzed and plotted in different ways in order to interpret the information. The script is presented in Spanish and English....
163.84 KB  
Science  -  Modular toolkit for Data Processing MDP 3.0
The Modular toolkit for Data Processing (MDP) is a Python data processing framework. From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into...
435.01 KB  
Libraries  -  Data::Serializer 0.41
Data::Serializer package contains modules that serialize data structures. SYNOPSIS use Data::Serializer; $obj = Data::Serializer->new(); $obj = Data::Serializer->new( serializer => Storable, digester => MD5, cipher => DES, secret => my...
25.6 KB  
Education  -  SciCraft for Linux 1.0.2
SciCraft is an open source data analysis software developed in Python which allows you to access advanced mathematical functions through an easy-to-use graphical interface. Typical methods can be anything from areas like statistics, chemometrics...
2.53 MB  
Development Tools  -  PCA (Principial Component Analysis) 1.0
- Subtracting the mean of the data from the original dataset - Finding the covariance matrix of the dataset - Finding the eigenvector(s) associated with the greatest eigenvalue(s) - Projecting the original dataset on the eigenvector(s) - Use only...
10 KB  
NEW DOWNLOADS IN SCRIPTS, SCIENTIFIC AND ENGINEERING
Scripts  -  Free Ecommerce website creator 1.2
Free Ecommerce website creator is a free PHP shop creating script. This allows you to put a online shop on your own website. Create your own free ecommerce website for Your Business. Create an online shop using easyGUI online shop creator. The...
1.44 KB  
Scripts  -  MochiGames PHP Script ZDR 1.00
MochiGames PHP Script ZDR is web site, ready for use, for flash games. These flash games are downloaded automatically by "MochiGames PHP Script ZDR" from MochiGames media. The use of the games is free, you can use your own Mochi Publisher ID and...
368.54 KB  
Scripts  -  Php Chat 2.0
Add a free php site, single sign-on and multiple skins, 100% free 1. Server Modes: The chat server has paid mode and free mode. If the free chat mode, a free chat room will be assigned to your website with your domain as the room name. 2....
938.87 KB  
Scripts  -  Nibbleblog 3.0.1
Nibbleblog it's a powerful engine for creation and manipulation of BLOG's completely free. Very simple to install and configure (Only 1 step). The database used is based on XML files and this way it is not necessary to use MySQL or similar DBMS....
371.09 KB  
Scripts  -  PHP File Manager | CloudOsys 2.9b8
CloudOsys is a PHP file manager, a tool that allows your visitors upload files such as media content directly to your website. Your visitors will upload files directly to your website, where they can share and comment on them. Through cloud...
1.41 MB  
Scientific and Engineering  -  metaf2xml 2.0
metaf2xml can download, parse and decode aviation routine weather reports (METAR, SPECI, SAO), aerodrome forecasts (TAF), synoptic observations (SYNOP), observations from buoys (BUOY) and meteorological reports from aircrafts (AMDAR). Data can...
381.63 KB  
Scientific and Engineering  -  Matlab code for the Kalman filter 1.0
It will compute the Kalman gain and the stationary covariance matrix using a Kalman filter with a linear forward looking model. Requirements: - MATLAB 7 or higher
 
Scientific and Engineering  -  Manhattan Virtual Classroom 3.2
The Manhattan Virtual Classroom is a fast, stable and effective course management system that runs on Linux and other Unix-like systems.It's written entirely in the C programming language (fast! - light hardware requirements) and is 100%...
 
Scientific and Engineering  -  Extended Kalman Filter 1.0
The state space model is nonlinear and is input to the function along with the current measurement. It performs the extended Kalman filter and returns the estimated next state and error covariance. Requirements: - MATLAB 7.6 or higher
 
Scientific and Engineering  -  Light Speed! 1.2-5 1.0
Light Speed! is an OpenGL-based program which illustrates the effects of special relativity on the appearance of moving objects. When an object accelerates past a few million meters per second, these effects begin to grow noticeable, becoming more...