Search Results for "python data analysis" - Page 21

Paean is a tool to demonstrate in real-time the effect of various error-correcting codes on data transmitted via several channel models.

Interlogy - next generation knowledge storage and prezentation system. Gives wide functionality for knwoledge evaluation. Interlogy is the same as forum, wiki, chat, socialnetwork, but all together.

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.

businetz is a web-based application which enables users of the popular business network XING to create a sophisticated visualization of their personal network.

An Expert Search System for Enterprise Search based on the Information Retrieval Vector Space Model. Our model builds a weighted profile for each candidate and keeps all the documents, thus allowing to retrieve both people and documents together.

OBIEE UDML (Universal Database Markup Language) parser, providing an XML output, enabling other applications to take advantage of the meta data.

BIRD stands for Business Intelligence Research and Development and it is part of the CoIntell Corporation (www.cointell.com). The goal of the BIRD community is to develop smart BI solutions Fast!

Data Mining in Time Series

ProteinArchitect facilitates the visual exploration of the architecture of proteins, including conserved domains, secondary structure elements and structurally flexible regions, e.g. in the context of the analysis of protein superfamilies.

FDTD Antenna Simulator is a complete software package for antenna analysis and design using the FDTD method.

BIRBU (BIological Relationship BUilder) is a Java tool for microarray gene expression data analysis. BIRBU identifies biologically significant relationship between genes using microarray data and prior knowledge on relationships between genes.

** IMPORTANT NOTICE ** 10 Feb 2006 Code is being moved to the SMI subversion repository (http://smi-protege.stanford.edu/svn/owl/trunk/) Project will continue to be open source. ProtegeOWL info at: http://protege.stanford.edu/overview/protege-owl.html

UGLi ML: The Undirected Graphical Library for Machine Learning. Easy, agile learning and inference from structured/relational data using Markov Networks and Conditional Random Fields.

The co-simulation adapation platform serves as programming framework and middleware to enable coupling of distributed, heterogeneous numerical models. The framework facilitates the adaptation and integration of new sub-models into a common simulation platform.

DEAL (Domain Extraction ALgorithm) is an application for domain analysis. Its main purpose is to extract domain information from existing Java applications and to create different kinds of models from the extracted data, including domain-specific languages.

JisM is a multi-threads program allowing users to perform segmentation's tasks on a picture. Users could add new segmentation methods as JisM's plugins. Plugins can be written in Java or in Python.

What is TIMS? Converts streets and highways into logical point system and retrieves traffic information from this points. Application Features Data Mining Real time analysis

Obs-dm aims to provide a robust and reliable way to collect, analyze, and share observational data. It is being designed for extendability into other areas such as fisheries and habitat science.

Project is migrated to GitHub: https://github.com/OpenDAS OpenDAS is an "Open Data Acquisition System" and a new software aimed at industry use. This is the easiest software to acquire data for industry and logistic, above all, this is a universal software. Why universal?, because OpenDAS has been thought as a universal acquisition system. It can be used to acquire data for any software or any combination of softwares. You can use data that come from an HR system, send data to an ERP...

...It allows the user to identify abstract categories of films by providing examples of category members, learns to classify films as belonging or not belonging to those categories, and provides a graphical interface for exploring and comparing categories. Cinefile is designed to work with data retrieved from the Internet Movie Database (imdb.com). This data is used for classification and is the subject of the category-based analysis. Cinefile was developed by the University of Mary Washington's Computer Science department (http://cas.umw.edu/computerscience).