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SpecTcl is a Tcl/Tk based histogrammer suitable for analysis of nuclear physics data. SpecTcl is relatively easy to learn, and is based on top of a very open C++ histogramming class framework.
SpecTcl has been developed under NSF grant PHY-9528844 and DOE grant DE-SC0000661
Note that as of July 2023, all future development and release packages will be occur at https://github.com/FRIBDAQ/SpecTcl
AsphaltOpen is a project to visualize data collected during road asphalting operations. Asphalt contractors can use the software to visualize their operations, learn from the visualizations, and improve their processes continually.
TBLTools is a set of GATE processing resources that implements the Fast Transformation Based Learning Algorithm. You can train it to learn rules for NLP tasks such as Named Entity Recognition and Shallow parsing.
...(Python Alternative for Programming Astrophysics) want to give an alternative to the astrophysicists (and any one that use RSI-IDL) for start programming in Python using similar functions as IDL and at the same time learn the power of Python.
A general purpose C++ library for Bayesian Filtering.<p>
Essentially Bayesian Filtering is a way of having a program learn to categorize information from a specific user through pattern recognition. <p>
PyEsp - Enhanced/Evolving/Extensible Semantic Profiling.
This Python program will sort and filter search results by applying semantic profiling on web pages. The program will learn the user preferences and profiling will be done on the client computer.