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Build Securely on Azure with Proven Frameworks
Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
The NUMIPAD library implements several methods/algorithms to solve inverse problems and adaptive decomposition (i.e. Tikhonov regularization, Total Variation, Basis Pursuit, etc.)
"Blue Planet" is a research project simulating the behaviour and darwinian evolution of unicellular lifeforms, each controlled by its own genetic program. Moreover, "Blue Planet Inhabitants" are suited for swarm intelligence and swarm research.
PGAF provides a framework tuned, user-specific genetic algorithms by handling I/O, UI, and parallelism. It is designed for optimizing functions that take a "very long time" to evaluate.
Navlib is a collection of algorithms created to solve the navigation problem for 2D non-holonomic vehicles. It includes code for computational geometry, system identification, path planning, and control. Written in C++ with python extensions.
OrangeHRM provides a world-class HRIS experience and offers everything you and your team need to be that HR hero you know that you are.
Give your HR team the tools they need to streamline administrative tasks, support employees, and make informed decisions with the OrangeHRM free and open source HR software.
This is a Python script for Blender which uses short (quaternion-based, floretion-based) algorithms to draw curves in space. The user can create new shapes and curves by setting a variety of parameters.
The Automatic Model Optimization Reference Implementation, AMORI, is a framework that integrates the modelling and the optimization processes by providing a plug-in interface for both. A genetic algorithm and Markov simulations are currently implemented.
Digital Adoption and User Training - in one solution
ClickLearn produces the right learning format for any training situation
ClickLearn captures work processes in enterprise software - and auto-produces learning content in 7 formats and 45 languages, creates a customisable e-learning portal and keeps documentation current with automatic updates.
TAROT is a easy-to-use framework for Monte Carlo simulations in python. Calculations between different kinds of randomly distributed numbers are made as easy as basic arithmetics. Tarot provides an interactive graphical interface for interpretation.
PyLife is an implementation of the game of life algorithm featuring parallel programming. It uses MPI and python to achieve a consistent software architecture and reliably performance.
Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.
PARs is a bioinformatics tool for the analysis of cis-regulatory DNA sequences. Composed of two parts: a suite of sequence analysis algorithms for predicting cis-binding sites in DNA sequences and a GUI for visualisation and exploration of the results.
MetaPepSeq is metaserver for protein identification in Mass Spectrometry Experiments. It helps joining the power of Mascot and de novo sequencing algorithms by merging together into one tool.
A Python library for easy creation and manipulation of Google Earth KML and KMZ placemark files.
Please get your copy from http://pykml.cvs.sourceforge.net/viewvc/pykml/pykml/?view=tar
An object-oriented partial differential equation (PDE) solver, written in Python, based on a standard finite volume approach and includes interface tracking algorithms. *WARNING* The project is no longer using Sourceforge to maintain its repository.
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.
General purpose agents using reinforcement learning. Combines radial basis functions, temporal difference learning, planning, uncertainty estimations, and curiosity. Intended to be an out-of-the-box solution for roboticists and game developers.
A Python and ANSI C implementation of the Edelsbrunner hyperplane arrangement algorithm described in his book Algorithms in Combinatorial Geometry, supporting arbitrary dimensions, exact rational arithmetic using gmp, and using David Avis lrs solver.
pystats is a comprehensive Python module implementing algorithms for statistics and information theory, including probability distributions, descriptive statistics, analysis of variance, regression, and inference.
A Java software for 3D visualization of graphs/networks. It implements many graph layout algorithms (such as force-directed methods), graph generators (such as scale-free networks) and graph modifiers. Most functions can be accessed through its GUI.
boost_graph tried to wrap the C++ Boost Graph library in Python, providing graph algorithms like Breadth First Search, DFS, Shortest Path, Topological sort. This project is dead (http://bayleshanks.com/pamv1)
Galileo is a library for developing custom distributed genetic algorithms developed in Python. It provides a robust set of objects that can be used directly or as the basis of derived objects. Its modularity makes it easy to extend the functionality. The