Search Results for "python source codes" - Page 8

PLearn is a C++ library aimed at research and development in the field of statistical machine learning algorithms.

Spree creates a social search community where everybody shares knowledge and benefits from other users' knowledge alike. The spree technology automatically channels user questions to competent fellow users who are willing to help.

nBoost is a suite of boosting algorithms designed to solve binary classification problems on data that is not linearly separable by a convex combination of base hypotheses, i.e. noisy data. WARNING: Active development. Underlying algorithm is unstable.

This project has moved to http://code.google.com/p/triviabotcracker/ A program to automatically find the answers for trivia bot common in IRC channel.

Investigation the concept of speed knowledge acquisition through speed reading and visual display. The initial version should be based on the concept provided by Dictator and should be a variable speed reader, handling TeX formatted files. Project design

Search engine to help in user understanding of the concepts behind indexing, parsing, clustering, relevance feedback and ranking.

A tool for windows users, to determine the type of a file based on its content rather than it suffix.

The proute engine is a library for processing and displaying vehicle routing information. It typically takes as input a vehicle routing problem instance as well as a solution, and can output graphical views of this data (nodes, routes, etc).

mozg is a flexible, fast neurolibrary. It allows one to create, learn and use multi-layer perceptron (MLP), which is the most popular artificial neural network (ANN). This work is based on library originally written by Alexy Filin.

Hierbei handelt es sich um die Umsetzung des von L.A. Fletcher und R. Kasturi entwickelten Algorithmus, beschrieben in "A Robust Algorithm For Text String Separation From Mixed Text/Graphics Images", zur Erkennung von Text in gemischten Text-Grafik Bilder

This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.

ExoPlanet provides a graphical interface for the construction, evaluation and application of a Machine Learning model in predictive analysis. With the back-end built using the numpy and scikit-learn libraries, as a toolkit, ExoPlanet couples fast and well tested algorithms, a UI designed over the Qt4 framework, and graphs rendered using Matplotlib to provide the user with a rich interface, rapid analytics and interactive visuals. ExoPlanet is designed to have a minimal learning curve,...