Search Results for "python::module" - Page 6
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Showing 368 open source projects for "python::module"
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Secure Computing PlatformBuilding effective anti-phishing, anti-malware and ransomware defenses has never been easier. Kasm’s isolation technology insulates users by creating a "chasm" between the user's personal computer and web-borne threats.
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The ultimate digital workspace.Hundreds of companies and millions of employees use Axero’s intranet software to communicate, collaborate, manage tasks and events, organize content, and develop their company culture.
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A free, industrial quality library for simulating articulated rigid body dynamics - for example ground vehicles, legged creatures, and moving objects in VR environments. It's fast, flexible & robust. Built-in collision detection.
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FluxModules
Module Computation for Metabolic Networks
Genome Scale Metabolic Networks are complex systems, Modules help to break them down and hence ease understanding and algorithmic complexity. FluxModules is a toolbox with code for module detection and module visualization. -
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allink
Software for data analysis, image processing, simulations, solver.
Collection of utilities based on two basics classes: Matematica and VarData. Matematica) performs math operations on vectors and matrices for smoothing, interpolation, convolution, image processing... VarData) manipulate a structure of points connected by links. Addraw) openGL engine. ElPoly) analyze mechanical properties of polymer and membrane like structures. Addyn) perform molecular dynamics and Monte Carlo simulations and has a solver for 4th oder PDE. Avvis) perform all the... -
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PyGAO
Genetic Algorithm Optimization for Python
...Eventually, I will expand to more generic data structures and add multiple-species search options. For the time being, I have no plans of developing a GUI. For now, this is strictly a computational module. In addition to the standard Python libraries, PyGAO uses numpy. -
Award-winning proxy networks, AI-powered web scrapers, and business-ready datasets for download.Bright Data is a leading data collection platform, enabling businesses to collect crucial structured and unstructured data from millions of websites through our proprietary technology. Our proxy networks give you access to sophisticated target sites using precise geo-targeting. You can also use our tools to unblock tough target sites, accomplish SERP-specific data collection tasks, manage and optimize your proxy performance as well as automating all of your data collection needs.
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ivl
A C++ template library extending syntax towards mathematical notation
...ivl features arrays, tuples and custom function-like objects with left-right overloading, function pipelining and function vectorization, automatic lazy evaluation, sub-arrays and other views of a single or multidimensional arrays, stl-compatible iterators, multidimensional iterators and multithreading. ivl includes a rich set of functions and operators, including operations for image processing. Seperate modules are also included. The module ivl-lina implements a linear algebra LAPACK wrapper. The module ivl-cv integrates OpenCV into ivl. -
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fesslix
Stochastic Analysis
A brief summary of the main features of Fesslix: - Perform non-intrusive reliability analysis or Bayesian updating either --- by running commands on the command line or --- by means of an Octave interface or --- by means of a Python interface - Flexible input language for writing Fesslix parameter files --- Control flow statements (e.g. if, for, while) --- Most parameters can be defined as functions - Working with response surfaces - Linear finite element analysis using truss, beam and plane stress/strain elements - Spectral Stochastic Finite Elements - Bayesian networks This is the download page for Windows executables of Fesslix. -
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Ellipt2d is a finite element program for solving second order, real and complex, two-dimensional elliptic problems with user-defined operators. Because Ellipt2d is written in Python, the code can easily be adapted for specific problems.
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PyDQP
Distributed QP Solver in Python
PyDQP implementes 11 different dual decomposition schemes, both first and second order, in order to solve quadratic programs in a distributed fashion. -
Transforming NetOps Through No-Code Network Automation - NetBrainNetBrain, founded in 2004, provides a powerful no-code automation platform for hybrid network observability, allowing organizations to enhance their operational efficiency through automated workflows. The platform applies automation across three key workflows: troubleshooting, change management, and assessment.
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This project develops a simple, fast and easy to use Python graph library using NumPy, Scipy and PySparse.
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Easy Equations
Hand Written Equation Creator
...The focus of this utility is to provide user friendly access to write mathematical equations which is helpful for students, lecturers, mathematicians and Research persons who prefer using mathematical equations in a document, PowerPoint or web sites. Works on Windows as well as Linux platforms. Software Requirements: JDK 7 or higher. Linux Platform with kernel version 2.7 or higher.(for Linux users).python necessary only in linux environment to use COPY functionality.python is pre installed in recent linux distributions. -
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Please participate in the SURVEY on rgedit's future: https://www.surveymonkey.com/s/VNMMJMJ your answers are much appreciated! Gedit (Gnome editor, www.gedit.org) plug-in allowing it to become an easy-to-use and yet light-weight IDE for the statistical programming environment, R (www.r-project.org).
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statspy
Python module for statistics built on top of NumPy/SciPy
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EnvStats
An R Package for Environmental Statistics
EnvStats is an R package for environmental statistics. It is the open-source successor to the commercial module for S-Plus© called "EnvironmentalStats for S-Plus", which was first released in April, 1997. The EnvStats package, along with the R software environment, provides comprehensive and powerful software for environmental data analysis. EnvStats brings the major environmental statistical methods found in the literature and regulatory guidance documents into one statistical package, along with an extensive hypertext help system that explains what these methods do, how to use these methods, and where to find them in the environmental statistics literature. ... -
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The Generic Graphics Toolkit is a library of generic programming primitives that allow applications to be written that adapt to whatever underlying graphics system the developer is using.
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Fractions C++
C++ library adds mathematical fractions. Example: 1/3, 4/7, 49/357...
...Library can: 1) Create fractions from or 2 "long long", or double, or "long long". 2) Round. 3) Methematic operators +, -, *, /, +=, -=, *=, /=. 4) Logic operators <, >, ==, !=, <=, >=. 5) Operator %. 6) Pow and fast pow. 7) Module: |-a| = a, |b| = b. 8) Input / output stream. 9) Convert in double and string. And other... -
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DeDAY
MLE survival analysis: Gompertz, Weibull, Logistic and mixed morality.
DeDAY (Demography Data Analyses) is a tool of analyzing demography data. It supports Gompertz, Weibull and Logistic distributions. DeDay also supports mixed mortality models based on these distribution such as the Gompertz-Makeham distribution. Distributions such as Gompertz describes only age-dependent mortality, which increases over time. Mixed mortality models, such as in Gompertz-Makeham distribution, consider a more general case where mortality is consist of both age-dependent and... -
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This is the former home of pyecm, which has now been moved to github: https://github.com/martingkelly/pyecm Pyecm factors large integers (up to 50 digits) using the Elliptic Curve Method (ECM), a fast factoring algorithm.
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math toolkit
A C++ and Python library for finance, statistics and linear algebra.
A lightweight C++ and Python library for finance, statistics and linear algebra. Finance features include compound rate present/future value, annuity, various present/future value coefficients ... Statistics features include mean, median, variance, standard deviation, covariance, correlation, linear regression, probabilities and random variates of various distributions ... -
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Math tools in Python to tackle down problems in Operational Research fields. Comes with a Django based web interface to allow remote access to complex simulation means.
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ASCEND is a modelling environment and solver for large or small systems of non-linear equations, for use in engineering, thermodynamics, chemistry, physics, mathematics and biology. Solvers for both steady and dynamic (NLA & DAE) problems, are provid
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QtoNum
python calculus library with imprecise and precise representations
QtoNum is a calculator for qualitative values (-, +), intervals and crisp numbers with arbitrary precision. QtoNum also handles infinitesimals and infinites. All these types can be mixed in expressions and conversions are performed automatically. QtoNum can be used as an interactive calculator (command line) and as a calculus library. -
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A High-Order Multi-Variate Approximation Scheme for Arbitrary Data Sets, C implementation of the method described in http://web.mit.edu/qiqi/www/paper/interpolation.pdf, with Python and Fortran interfaces.
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