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A cross-platform library that computes fast and accurate SIFT image features. libsiftfast provides Octave/Matlab scripts, a command line interface, and a python interface (siftfastpy). Optimized with SIMD instructions and OpenMP .
An experimental language designed to be very simple, but expressive enough to represent mathematical constructions and have strong introspective capabilities.
Data processing algorithms based on the gnostical theory of uncertain data possess high robustness with respect to both outlying data and changes of their statistical characteristics.
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Python Machine learning library with multi-core support. Wraps existing ML libraries in order to be able to run and analyse experiments with one front-end API. Currently supports MLP, GA, GP, ESN and RBF algorithms.
MIVF - Medical Imaging and Visualization Factory,
is a framework for medical applications. It supplies a platform, in which image processing and 3D visualization algorithms can be employed as reusable components (functional modules or plugins).
IFEFFIT is a library and set of interactive programs for the analysis of x-ray
absorption fine-structure (XAFS) data. IFEFFIT combines state-of-the-art
analysis algorithms with graphical display of XAFS data, and general data
manipulation. It can be
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PolyPlanet is an evolutionary playground inspired by Polyworld. It uses genetic algorithms to evolve the world and its inhabitants. Current inhabitants include PolyPlants, PolyTrees, and PolyDudes that have neural network brains which also evolve.
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.
HDRFlow is a framework to process high-dynamic range (HDR) and RAW images. It's written in C++, and is both cross-platform and hardware accelerated on modern GPUs.
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.
A threaded Web graph (Power law random graph) generator written in Python. It can generate a synthetic Web graph of about one million nodes in a few minutes on a desktop machine. It implements a threaded variant of the RMAT algorithm.
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.
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.
compactpath is a python package to handle compacting of filepaths. compacting of filepaths may be useful in gui programming where filepaths of arbitrary lenght have to be displayed in widgets with limited visual space.
A Python class library of tools for learning agents, including reinforcement learning algorithms, function approximators, and vector quantizations algorithms. (Pronounced "plastic".)
Library for manipulating hexagonal grids. Supports arbitrary areas and paths. Routing algorithms: find best path, find movement horizon. Output as SVG - which you can easily convert to PNG or JPG. Interface from C++, Python and JavaScript.
A program which retrieves TV program data and asks user which TV programs he / she'll watch that day. Using that data program learns the user preferences using machine learning algorithms (such as support vector machines).
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.
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.