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This project now lives at https://github.com/dwvisser/jam-daq-code/
Jam is an easy-to-use self-contained data acquisition and analysis system for VME-based (or CAMAC-based) nuclear physics experiments. Jam has an easy, standard GUI for taking and sorting multi-parameter event-based data into 1-d and 2-d histograms.
sparse and dense matrix, linear algebra, visualization, big data
...The Universal Java Matrix Package provides various visualization methods, import and export filters for a large number of file formats, and even the possibility to link to JDBC databases. Multi-dimensional matrices as well as generic matrices with a specified object type are supported and very large matrices can be handled even when they do not fit into memory.
A project aims to develop a system which trains LDA model in distributed enviorenment. I studied Hadoop based solution and found that Hadoop is not fit for distributed LDA training case. In this project I implement a platform based on socket.
An open source program that has the ability to graph data collected from scientific experiments. It will fit a variety of linear and non-linear regressions to data and will have the ability to save and print graphs.
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