Search Results for "python user interface" - Page 3

A set of Unix command line tools for quick and convenient batch processing of tabular text files (a.k.a., tab-delimited, csv, or flat file format) with a header line. Provides delimiter and compression detection, column reference by name. * tblmap: per-line ("map") computation: derive columns through an expression, delete, reorder, filter rows. * tblred: compute ("reduce") aggregations (e.g., sum, average) over groups defined by key columns. * tbldesc: Summarize columns in file...

Pink is an image processing library developed at ESIEE Engineering for research and teaching purposes. It contains implementations of over 200 algorithms for image segmentation and filtering.

This project aims to be a easy-to-use toolkit of algorithms and utilities for semantic data mining. So far all algorithms are implemented as web services and we provide widgets for their use in the Orange4WS data mining platform.

Graph-based Extraction and Summarization - a generic graph-based summarization framework. Basic functionality is provided - third-party modules can be plugged in.

ftc is a python script for content-based file type classification based on an file extension and magic number database, and several computational intelligence algorithms.

ptsa (pronounced pizza) stands for Python Time Series Analysis. A python module specifically designed with neural data in mind (EEG, MEG, fMRI, etc...), but applicable to almost any type of time series.

ngram is a module to compute the similarity between two strings. It is different to python's "difflib.SequenceMatcher" in that it cares more about the size of both strings. ngram is an port and extension of the perl module called "String::Trigram

A python package to find repetitive format pattern in HTML pages and extract information from them using this pattern. The idea is that in pages that have some kind of a list, there will be a repetitive pattern for the human eye (the page format).

Monte is machine learning in pure Python. Monte's focus is the construction of gradient based learning machines from many small components.

A cooperative passive radar aimed to be used over commercial (and cheap) hardware.

Python module to interface the CLIPS expert system shell library.

A univariate and multivariate analysis UI. This project is no longer under development. Please use as you wish.

A Python function library to extract EEG feature from EEG time series in standard Python and numpy data structure. Features include classical spectral analysis, entropies, fractal dimensions, DFA, inter-channel synchrony and order, etc.

ConDEnSE (Confidential Data Enabled Statistical Exploration) will be a web-based environment for statistical analysis of confidential data from various database sources, based on Plone and R, and using the Jackknife method of confidentiality protection.

pygpr is a collection of algorithms that can be used to perform Gaussian process regression and global optimization.

Everyday Software for the Researcher of Restricted Means: This project is intended to offer scientists and students with small budgets advanced versions of aqua-built desktop-editing, graphics and statistical applications for MacOSX.

This is a neat little tool to visualize binary data in a graphical form. It's really interesting to look at different types of files.

Python framework for video processing and content analysis using CUDA for acceleration.

This project is a python script to abstract S.M.A.R.T. messages from /var/log/messages (from the smartd daemon) into .csv file(s), one for each disk, suitable for graphing.

Augustus development has moved to google code. The new project page is augustus.googlecode.com. New releases of the project are not currently being released to sourceforge. Augustus is designed for statistical and data mining models and produces and consumes models with 10,000s of segments. Versions of Augustus support PMML 3, 4.0.1, and 4.1.

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.

The Simple Versatile Plotting (SVP) tools create camera-ready plots of performance analysis data gathered from high performance computing (HPC) applications.

Network grep, on steroids

A lightweight, browsing-based, 100% Python, federated data integration framework. Users may create custom schemas for disparate sources, query and expand results across sources to find related data; for use in fields such as bioinformatics and datamining

Moved to Google Code, see http://code.google.com/p/pythonequations/downloads/list