Search Results for "data science"
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Showing 8 open source projects for "data science"
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TER implements the CCSDS Recommendation for Image Data Compression (CCSDS 122.0-B-1). TER also adds new features to the Recommendation. TER is designed and programmed with the aim to provide a good basis to test and develop the CCSDS Recommendation.
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This project has been moved to https://github.com/inikep/XWRT XWRT (XML-WRT) is a high-performance XML compressor (it also works with textual files). It transforms XML to more compressible form and uses zlib (default), LZMA, PPMd, or lpaq6 as back-end compressor. It is similar to XMill, but has many improvements.
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SEG-Y files need special compression because they don't compress well using gzip and the like. The code is cross-platform C++ using nothing else than standard system libraries. This is a spin-off from the OpendTect project (http://opendtect.org).
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CADI is an implementation of the JPIP standard (JPEG2000 Interactive Protocol - Part 9). CADI includes a JPIP server, a JPIP proxy, and a JPIP Client. CADI is designed and programmed with the aim to provide a flexible framework to test and develop ne
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ZLib 1.2.3 wrapper for Delphi language. It works on latest Delphi 2010 too.
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Alternative approach to minimum redundancy coding (fixed-length) without using tree data structures. The main advantages are simplicity and flexibility.
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XMill is a user-configurable XML compressor. It separates structure, layout and data and distributes data elements into separate data streams (int, char, string, base64, etc). This distribution is user-definable. gzip, bzip2 or ppmdi compresses these str
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