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Content Tagged with Ai + python

06-2008: Pebl is a python library and command line application for learning the structure of a Bayesian network given prior knowledge and observations.

Good reference guide for Open CV. Note that OpenCV in the view of this manual is somewhat limited in the number of options available.

Elefant (Efficient Learning, Large-scale Inference, and Optimisation Toolkit) is an open source library for machine learning

Pyke is a knowledge-based inference engine (expert system) written in 100% python that can: * Do both forward-chaining (data driven) and backward-chaining (goal directed) inferencing. * May be embedded into any python program. * Can automatically gener

"The constraint package is a constraint satisfaction problem solver written in 100% pure Python. The implementation uses constraint propagation algorithms."

Jono DiCarlo offers a thorough-going look at the ingredients (and vision) behind usable, pleasurable, humane software projects: benevolent dictators, sensible defaults, task-oriented, plugin architecture, user testing.

"Hopfield nets are one of the easier neural net models to understand -- and they can be useful, too. The main ability of the Hopfield net is to undo noise and reconstruct known patterns. Python programmer Andrew Blais is your guide to learning more about

Bayesian Classifer

PyAIML is an interpreter for AIML, the Artificial Intelligence Markup Language, implemented as a 100% pure standard Python package. It was developed as an extension to Howie, an AIML chatterbot project I've been working on (shameless plug!). Howie was ori