Search Results for "java machine learning library" - Page 12

...A locally weighted variant of Partial Least Squares (PLS) is employed for doing the dimensionality reduction. Please cite: [1] Sethu Vijayakumar, Aaron D'Souza and Stefan Schaal, Incremental Online Learning in High Dimensions, Neural Computation, vol. 17, no. 12, pp. 2602-2634 (2005). [2] Stefan Klanke, Sethu Vijayakumar and Stefan Schaal, A Library for Locally Weighted Projection Regression, Journal of Machine Learning Research (JMLR), vol. 9, pp. 623--626 (2008). More details and usage guidelines on the code website.

Mullpy is a machine-learning library that mainly aim to solve multi-label problems. It is classifier independent, has many ensemble capabilities (diversity methods like bagging, random subspaces, etc.) and automated results presentation (Excel, images as ROC or class-separated info, etc.). It is fully configurable. At the moment supports Neural Networks and classifiers defined in files.

This is a library for python containing popular machine learning algorithms under the unsupervised learning framework. Algorithms implemented up to now: K-Means Intelligent K-Means Weighted K-Means Minkowski Weighted K-Means Intelligent Minkowski Weighted K-Means Partition Around Medoids (PAM) Build (initialization for PAM) Minkowski Weighted PAM (with and without Build) Ward Method

PyVision is a object-oriented Computer Vision Toolkit for researchers that contains vision and machine learning algorithms and algorithm analysis and easily interfaces with scipy/numpy, PIL, opencv and other computer and machine learning libraries.

This project has moved to github at http://lmwtree.devries.ninja.

This project develops a simple, fast and easy to use Python graph library using NumPy, Scipy and PySparse.

...Unlike other eBooks management softwares, pyELib doesn't need the user to input neither titles nor ISBNs, since it automatically analyzes the files and searches for details on the internet. Dupes and different editions are properly handled. Each book is then automatically associated to one or more category (through machine learning) and, if desired, renamed. The library is stored in a MySQL database and comes with an interface for easier management.

The intention of this project is to give all serious users of the SNNS a place where they find a bugfix and patch management and where they get useful information about the SNNS.

Framework for making Windows applications that are one .exe file in AutoHotKey_L,C++,C#, VB.NET,Java,Groovy,Common Lisp,Nemerle,Ruby,Python,PHP,Lua,Tcl,Perl,Jint,S#,WSH VBScript,HTML/JavaScript/CSS,COM, PowerShell without compiling . For .NET 4.

This project consists in a set of challenges to recognize images acquired from 3d Lasers.

The Python Computer Vision Framework is an opened project deisgned for all those interested in computer vision. It aims at making computer vision more easy and structured and matlab-free. It may also be used for other artistic and scientific areas.

Yann is Yet Another Neural Network. Yann is a library to create fast neural networks. It is also a GUI to easily create, edit, train, execute and investigate networks. Multiple topologies, runtime properties and ensemble learning are supported.

A Python function library to extract EEG feature from EEG time series in standard Python and numpy data structure. Features include classical spectral analysis, entropies, fractal dimensions, DFA, inter-channel synchrony and order, etc.

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.

New Python bindings for the popular OpenCV image processing library.

IDEAIS is a enteprise service bus integration plataform for software development tools and activities. It uses Web Services (SOAP/HTTP) to integrate best of the breed software development tools (Eclipse, Subversion, Bugzilla, dotProject, vTiger).

The Wolfram Machine project is an effort to create a set of documentation and useful modules (both hardware and software) for a computing architecture based on the mathematical theories presented in Steven Wolfram's book _A_New_Kind_of_Science_.

Lino is a suite of Python packages for IT professionals who offer business applications for small and medium-sized enterprises.

HORUS is a system for knowledge acquisition, hypothesis generation, inference and learning. It is an interactive, internet environment accessible to a diverse community of users (public-access or membership basis) - see also UMKAILASH project for more.