Search Results for "data science"
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9 projects for "data science" with 2 filters applied:
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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Slim is a data compression system for scientific data sets, a binary and a library with C linkage. Slim works with integer data from one or more channels in a file, which it can compress more effectively and more rapidly than general tools like gzip.
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LPC-Rice HDF5 filter
Multi-threaded HDF5 filter implementing the LPC-Rice codec
Multi-threaded HDF5 filter implementing the LPC-Rice codec. This lossless codec is intended to compress correlated signal data, such as image data, stored in HDF5 chunks. The codec/filter is optimized for both compression and decompression speed, but compression ratios are still comparable to JPEG-LS and CCSDS-123 codecs. -
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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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StormRT is a real-time multi-resolution analysis and compression package for data compression and temporal feature detection over multiple timescales.
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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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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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