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56203 resources
Several algoritms with papers on Fast kernel density estimation, Improved Fast Gauss Transformation, and Fast ranking. Some unpublished papers are also included. [GPL]
A large collection of algorithm projects with complete sourcecode. [GPL]
A large collection of Intelligent Agent projects complete with sourcecode. [GPL]
A Highly Scalable, Distributed Open Source Storage Database providing index free adjacency. [AL]
A concise explanation of backward propagation neural networks for handwriting analysis. Beginning functions are given for its 'Brain Net' library in VB.Net. [LGPL]
Software that provides a high level of automation in analyzing streaming data, the ability to learn continuously from data, and the ability to drive action from the output of Grok's data models.
A Boltzmann machine based framework for development of non-deterministic intelligent state models. [GPL]
An open source Python library that implements a range of machine learning, preprocessing, cross-validation and visualization algorithms using a unified interface. Provides documentation and source code.
Supports several inference algorithms and learning algorithms. Allows simulation of static and dynamic networks, including HMMs, IOHMMs, and Kalman filters. [GPL]
A generic framework for the evolutionary search algorithm mPOEMS. It was designed to solve optimisation problems, with an unrestricted number of objectives. This site provides all sources and some exemplary implementations, e.g. of the n-hard knapsack problem. [AFL]
The Carnegie Mellon University School of Computer Science select list of a few very good machine learning systems. A list of 4 FTP repository links is also listed for exploring. [GPL]
Provides GMDH-based machine learning technology for classification, continuous value prediction and time series forecasting. The software uses multi-core processors and HPC Linux clusters. [Commercial]
Many algorithms, toolboxes and full languages are available for scientific computing. Abstracts, PDF, and source code is available. [GPL]
A high performance Python package for predictive modeling. Fast N-dimentional array manipulation is performed via numpy using C code. New features include: OLS, Ridge Regression, Kernel Redge Regression, LASSO, LARS, Gradient descent for Regression, and K-Means. [GPL]