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hgboost is a header-only library which contains a generic hypergraph implementation and provides vertex/node contraction and vertex/edge filtering. It contains algorithms to compute cohesive subgroups, minimum cuts and maximum flows.
Wodka is the implementation of a geneticalgorithm (GA) that can bread two dimensional structures that might be used as robots in sodarace competitions.
This is a compiler which produces ANNs out of a simple, procedural programming language. Those programs can then be subject to genetic algorithms and neuro-evolution to enhance them automatically.
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A flexible programming library for evolutionary computation. Steady-state, generational and island model genetic algorithms are supported, using Darwinian, Lamarckian or Baldwinian evolution. Includes support for multiprocessor and distributed systems.
ksudoku is a fully-featured Sudoku puzzle generator and solver for KDE. With it you can generate and play 3D and 2D puzzles of different sizes and levels. The main algorithm is fast and extendable to any general graph coloring problem.
HyPhy is a comprehensive environment for maximum likelihood statistical analysis of genetic sequence data. It includes a large collection of out of the box analyses, a feature-rich graphical user interface for custom data analysis and a scripting languag
Library of terrain level of detail algorithm nodes for Coin (an implementation of an Open Inventor scene graph) and other utility classes. Currently are implemented ROAM, Geo Mip-Mapping and Chunked-LoD algorithms. Any issues and feedback for this projec
Clean implementation (in ANSI-C) of the Wavelets Transform. It works fairy good as a sparser, which can be combined with a compression algorithm (by using programs like bzip and gzip) to achieve high compression ratios (as good as mp3's).
Random Forest classification implementation in Java based on Breiman's algorithm (2001). It assumes the data is in the form [ X_1, X_2, . . ., X_M, Y ] where Y \in {0, 1, . . ., C}. The user must define M, C, and m initially.
The Hardware Assisted Visibility Sorting (HAVS) algorithm is a GPU-based, direct volume renderer for unstructured grids. The algorithm operates in both object- and images-space and includes a sample-based, dynamic level-of-detail algorithm.
libidp is a C library implementation of the iterative dynamic programming (IDP) optimal control algorithm, which solves the optimal control problem for ODE and DAE dynamic equation models. An example problem is included.
OMG is an online 2-D Mesh Generator. Using Shewchuka Triangle (written in C) to generate DT and a Quadtree algorithm (written in php) to triangulate a PSLG. A few Import end Export functions are included. Using SVG to display meshes.
ARM7 targeted MP3 player. Fixed point 16 bit. Purpose is to buid an MP3 player with the lowest possible cost. Works on mono files (going stereo shouldn't be very complicated). Doesn't use Helix. The huffman decoding uses a clustering based algorithm.
NullAllEst is the implementation of a maximum likelihood algorithm to estimate the frequency of a null allele in microsatellite genetic data. A Markov Chain Monte Carlo simulation is used to solve the likelihood function.
DrPangloss is a python implementation of a three operator geneticalgorithm, complete with a java swing GUI for running the GA and visualising performance, generation by generation
pumipd is a daemon for dynamic configuration of IPv4 addresses. A static DHCP-Server is not necessary, the complete algorithm is dynamic. umipd is intended to be a conformant implementation of RFC 3927 (Zeroconf).
vuVolume is a framework for volume rendering algorithms in C++. When creating a new rendering method in vuVolume it is possible to just concentrate on the actual algorithm and let the framework take care of the more administrative tasks.
SIPNet is a p2p-sip framework, it support IM,audio,video based on p2p-sip protocols, and support file sharing like other p2p programs such as bittorrent. All SIPNet clients join to form a P2P overlay net and find each other using DHT algorithm.
GenetiK is a generic framework that supports evolutionary algorithms, in particular Genetic Algorithms and Genetic Programming (and also Strongly Typed GP).