Machine Learning Software

• BayesBuilder  - Program designed for constructing and testing Bayesian networks. Available for free noncommercial uses.
• BNet.EngineKit  - Developer toolkit enables researchers and engineers to embed belief networks in software applications.
• ClassMarker  - Application useful for identifying genes that can differentiate among diseases as well as the genes associated with diseases that share common molecular phenomena.
• FastMix  - Tool developed to generate Gaussian mixture models for large datasets using EM clustering algorithms.
• HMMER  - Biosequence analysis application that makes use of profile hidden Markov models (profile HMMs).
• ILK Software  - Offers downloadable software packages for machine learning and Natural Language Processing (NLP).
• KEEL  - Software designed to assess evolutionary algorithms for data mining problems.
• LingPipe  - Suite of Java libraries for the linguistic analysis of human language.
• Machine Learning Software Packages  - Collection of machine learning software from the Carnegie Mellon University Artificial Intelligence Repository.
• MALLET  - Integrated suite of Java codes designed for statistical natural language, document classification, clustering, information extraction, and other machine learning applications to text.
• OpenCyc  - Open source version of the Cyc technology, a general knowledge base and common sense reasoning engine.
• The Spider  - Object oriented environment designed to handle large unsupervised, supervised, or semi-supervised machine learning problems.
• Torch  - Machine learning library written in simple C++. Supports vector machines and features speech recognition tools.
• Weka  - Java data mining software offering a collection of machine learning algorithms for data pre-processing, classification, regression, clustering, association rules, visualization, and other data mining tasks.