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Custom VMs From 1 to 96 vCPUs With 99.95% Uptime
General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.
Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
PyVision is a object-oriented Computer Vision Toolkit for researchers that contains vision and machine learning algorithms and algorithm analysis and easily interfaces with scipy/numpy, PIL, opencv and other computer and machine learning libraries.
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.
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.
A C++ and Pythonlibrary for finance, statistics and linear algebra.
A lightweight C++ and Pythonlibrary 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 ...
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.
THIS PROJECT MIGRATED TO GITHUB
https://github.com/cosmo-guffa/play-svg
A great thanks to SF.net for hosting up until now... it's nothing personal, this just isn't the right tool for the job ;)
Project description:
pLAySVG is a pythonlibrary for the development and manipulation of SVG vector graphics through scripting. pLAySVG makes it easy to create graphics based on geometric relationships. It's intended for educational and artistic use.
PolyBoRi is implemented as a C++ library for Polynomials over Boolean Rings, which provides high-level data types for Boolean polynomials. A python-interface yields extensible algorithms for computing Groebner bases over Boolean Rings.
A C++ library for the computation of bifurcation diagrams: it provides tools for the integration of systems of ODEs that depend on parameters. A Python interface is included.
That project aims at studying and comparing typical airline IT methods, for instance RM-related algorithms. It works from a Unix/Linux/Mac command-line, and exposes basic APIs. It is being developed in C++, with Python wrappers for some components.
This App solves a system of simultaneous equations (liner or nonlinear) by using a matrix root solver. Iterations and solutions are provided by GSL (GNU science library).
PyPedal is a Python module that provides tools for the manipulation of pedigrees, simple visualization of pedigrees, and the calculation of measures of genetic diversity from pedigrees.
Open Bayes is a python free/open library that allows users to easily create a bayesian network and perform inference/learning on it. It is mainly inspired from the Bayes Net Toolbox (BNT) but uses python as a base language. www.openbayes.org
swiginac is a Python interface to the GiNaC (GiNaC is not a CAS) C++ library, built with SWIG. The aim of swiginac is to make all the functionality of GiNaC accessible from Python.
PyPedal is a Python module that provides tools for the manipulation of pedigrees, simple visualization of pedigrees, and the calculation of measures of genetic diversity from pedigrees.
Web interface for python math modules. Developed with web2py. It uses pure python modules for easy deployment . Math2py requires the mpmath library installed with web2py. Download and unzip mpmath in web2py/site-packages
A Python environment for large and sparse linear and nonlinear optimization using intuitive interfaces to linear algebra tools and subproblem solvers written in low-level languages. It provides building blocks to experiment with new ideas and algorithms.