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Showing 8 open source projects for "feedback"
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DataEase
Data visualization analysis tool
...Support various data sources such as data warehouse/data lake, OLAP database, OLTP database, Excel data file, API, etc. Open source and open: zero threshold, quick access and installation online; quick access to user feedback, new versions released monthly. pport multiple data sharing methods to ensure data security. -
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Animal Studies
Animal Studies
Help us to improve Lab Processes. We want to hear your feedback! Request new Lab Processes feature or module and receive a free Single User version with new feature. https://www.atgclabs.com/products/lp The Animal Studies module is a comprehensive and straightforward application specially designed for biologists and chemists who need to conduct a wide variety of tests and experiments on animals. -
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NDN Backprop Neural Net Trainer implements the backpropagation functionality subset of the open source NeuronDotNet object library in a generic user friendly application.
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ParaSim
Parallelized calculation of molecular similarities
...Basically, all types of structural fingerprints which can be stored in an array of bits (a bitset) can be used by ParaSim. See the Wiki (https://sourceforge.net/p/parasim/wiki/Documentation/) for detailed documentation. FEEDBACK HIGHLY APPRECIATED! -
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ShiVaSmiles
A slick interface to see various scale analysis algorithms in action.
The Shape Visualizer is intented to be an exploratory/educational tool making it quick and easy to see how various mathematical methods perform in analysing and selecting the various patterns present on an image. The main website is built as a wiki gathering info and examples on the various implemented algorithms. The combination of the application and its wiki intend to constitute a nice little pedagogic toolkit for multiscale analysis. Feel free to contribute code or wiki content ! -
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This project is built on the premise that neurons that are fired together, are wired together. The basic idea is an efficient network with no back-propagation, although there is feedback within layers.
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Framework for Query Expansion for Apache Lucene. Provides implementation of Rocchio Query Expansion (QE) method. Provides implementation of pseudo feedback QE utilizing Google's web API to query the world wide web in order to acquire terms for QE.
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Search engine to help in user understanding of the concepts behind indexing, parsing, clustering, relevance feedback and ranking.
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