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PCP (Pattern Classification Program) is an open-source machine learning program for supervised classification of patterns. PCP is a binary executable running on Linux and Windows (under Cygwin environment).
treecat is a simple, interactive tool that helps you classify files or database entries into an arbitrary category tree. Items are automatically classified within a taxonomy quickly and accurately, requiring single key confirmation or correction.
PARASOL is a C library for implementing computer-system simulations.
PARASOL is a C library for implementing simulations of computer systems. It supports a simulated, user-configured, multiprocessor environment on which user-written software (in C or C++) is executed.
MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning. The code is well documented and easy to extend, especially for adding new weak learners.
Mcube is designed to solve 4x4x4 Rubiks Cubes (AKA, Rubiks Revenge, AKA, Master Cube). It is multiplatform, and has both console and graphical support.
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"mASN1" - mini ASN.1 framework is a light ASN.1 framework written in C# for .NET
framework. It can be used for creating classes that model ASN.1 types and
are capable of encoding/decoding themselves to BER/DER codes. PER support is planned.
DotPlot is an Eclipse plug-in to graphically compare word sequences of any type of text. Matches will be plotted as dots on a graph. Similarities in thousands of lines of text or code will result in typical textures and diagonals in the plot.
The NSketch library provides implementations of most common sketch-based algorithms (histograms, quantile, frequent items, bloom filter ...). The library is written in C# for .Net.
An open-source package for analysis of neurophysiological data-- offline (vs real-time) processing of single-neuron spike trains or EEG data associated with behavior and memory processes. Currently MATLAB heavy, with some Windows specific code.
This is a implementation of the 'enhanced Topic-based Vector Space Model' (eTVSM) using the python language. A Java-Version and maybe other java-code contributions are planned.
NSvm is a .Net Support Vector Machine library written in .Net. NSvm features the SMO algorithm, a few kernels (including ad hoc algorithms for linear kernels). The objectives of NSvm are simplicity, flexibility and extensibility.
The bandit project is a repository of the various known algorithmic solutions for the multi-armed bandit problem. The project is also a repository of several datasets that could be used for benchmarking purposes.
Searches arbitrary text input (logs, etc) for regular expression(s) matching, and then executes arbitrary SQL statement(s) with matched substrings used as parameters. Offers daemon, incremental and transactional features.
Artificial vision library. Objectives are to make an OCR, fingerprint and face identification as some applications through a general purpose learning and pattern relationships algorithm (Currently performs very basic identification).
Framework for storing and editing Forestry-related XML data, with a specialised graphical interface for each object type. Plug-in API for adding functionality. Coded in Java, uses WebStart for distribution, swing GUI, ~100k lines of code.