Open Source Python Scientific/Engineering Software - Page 49

This is a Python program based on the NegEx algorithm that detects the polarity of the clinical evidence in clinical random trials. If you use this code please cite this paper: P. Davis-Desmond and Diego Mollá. Detection of Evidence in Clinical Research Papers (2012). Australasian Workshop On Health Informatics and Knowledge Management (HIKM 2012), Melbourne, Australia. http://www.ics.mq.edu.au/~diego/publications/hikm12.pdf

clusterviz allows to cluster three-dimensional data. The clustering process is visualized using OpenGL. As clustering algorithms the family of k-means algorithms is implemented, including mixture models.

A simple user interface to the R software environment. It is designed for people new to R and provides the user with easy access to their variables and data along with pointers to the most basic commands. It also allows for multiple people to share data across different sessions on different machines. In this way it also offers a collaborative environment for people to work together in remote locations.

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.

An extension of Code_Aster to add multilingual support to it's varying GUI interfaces included in the default package. Eventually, we also intend to extend Code_Aster by contributing command file templates and extending the analysis abilities.

With CodonU, you can now easily read, manipulate, and analyze various file formats used in this kind of analysis, and generate high-quality graphics suitable for publishing. This open-source project incorporates various statistical measures necessary for codon usage analysis, including codon adaptation index, codon bias index, Gravy score, and correspondence analysis for both nucleotide and protein sequences. Start using CodonU today and see how it can revolutionize your genomics research! Find more at: https://github.com/SouradiptoC/CodonU Documentation link: https://souradiptoc.github.io/CodonU Example Link: https://github.com/SouradiptoC/CodonU/tree/master/Examples

Cotnatex is a cognate - tool for the university of Heidelberg. Written by Peter Kostadinov and Dyanko Dyankov.

The Collaborative Computational Project for NMR (CCPN) provides tools and knowledge to maximise the impact of the biological NMR studies. The CCPN software facilitates data analysis and software integration. The project actively promotes the exchange of knowledge and provides training and best practices for the NMR community. CCPN also has a leading role in the development of a NMR data-sharing standard and coordination of NMR instrumentation proposals for RCUK and BIS. The 28 partners of CCPN jointly cover all aspects of biomolecular NMR and together they promote excellence in science in their respective fields.

A conference submission and review system designed for flexibility and re-use. Initially used for the ALIFE 8 conference (in 2002), and designed around the principles of the systems used for ALIFE VI and ALIFE VII.

A toolkit in C++ and python to process both experimental and simulation data of colloidal particles. Includes among others * a multiscale particle tracking algorithm [1] whose C++ implementation is optimised for 3D confocal data. Python implementation is more versatile (2D and 3D data). * a Leica file reader, * Steindhard bond orientational order calculation * a VTK file writer 1. Leocmach, M. & Tanaka, H. A novel particle tracking method with individual particle size measurement and its application to ordering in glassy hard sphere colloids. Soft Matter 9, 1447–1457 (2013). https://dx.doi.org/10.1039/C2SM27107A (http://arxiv.org/pdf/1301.7237.pdf)

For given set of external load combinations it checks section integrity (mode 1). Also it does rebar optimization (mode 2).

The Comparative Toxicogenomics Database (under development) will be a publicly-available, web-based database of genes and proteins of human toxicological significance. It is being developed using an Oracle 9i database, Tomcat, and Python.

Comparer is a document comparer program. The initial task of the comparer is to find the likeness of all documents given to it by generating a graph of all usable connections between documents.

Collection of wrappers for textile composite modelling package TexGen and a variation of structural FEA packages (baseline being Calculix) to allow extraction of 3D mechanical property data.

Computer Controlled Optical Microscopy is a package to enable camera equipped microscopes to generate multi-modal time-lapse image sequences of 3D volumes. This is achieved by periodically changing optical settings, xyz positions and acquiring images.

The Constrained Manipulation Planning Suite (CoMPS) consists of three openrave plugins and associated data files. The planning and inverse kinematics algorithms in this suite are designed for articulated robots like robotic arms and humanoids. CoMPS is implemented in C++ and compiles in linux only. There are also several examples in python and matlab that show how to interface with openrave to use the plugins in CoMPS. It has been tested on all Ubuntu version from the last few years and will probably work with most modern linux distributions. Please see the wiki for installation and examples: https://sourceforge.net/p/comps/wiki/Home/

ContBeam is a program capable of solving structural configurations of continuous beams on multiple supports. it handles conditions and load combinations provide being output characteristics of the stress and deformation of the structure

A ContextTree is a way of dynamically forming relationships between information: the same information can be viewed in different ways, depending on what you want from it.

ConvertAll is a measurement unit conversion tool. It allows units to be combined as desired. Units can be entered by typing or by selecting from the GUI.

Data logger, manipulator and visualizer. Receives data in CSV format from stdio.

Provides up-to-date data about Coronavirus outbreak. Includes numbers about confirmed cases, deaths and recovered. Support multiple data sources. Specify source parameter with ?source=nyt. NYT also provides a timeseries! To view timelines of cases by US counties use ?source=nyt&timelines=true. Currently, 3 different data sources are available to retrieve the data. Worldwide Data repository operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). U.S. County data that comes from the Conference of State Bank Supervisors. The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States. This API provides the timeseries at the US county level. jhu data-source will be used as a default source if you don't specify a source parameter in your request. Consume our API through our super awesome and interactive SwaggerUI.

Redundancy due to cut-paste operations in text creates bias in machine learning for NLP. This module takes a directory and produces a subset of the files in that directory (in a list) with an upper bound on similarity between two files.

A complete set of code to build your own robot for cospace dance using: raspberry pi, arduino, xbee and blender,

Crow - Computational Representation Of Whatever. A platform for the integration and mining of complex and distributed data. Represents cross-linked semantic web documents as a network of software objects and offers easy ways to filter, and sort them.