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Library for efficient similarity search and clustering dense vectors
Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. Faiss contains several methods for similarity search. It...
JVMCluster
Features:
- clusterable Java Virtual Machine (based on PVM)
- uses CPPVM as adapter layer to PVM
- object persistent layer integrated into JVM
- memory management unit is based on integrated relational database
- JDBC/ODBC api to acces
Atomatrix is a multithreaded execution system of atomic matrices with a dynamic compiler and a network eviron. It is the next generation object-orientated environment. XML, MUD-OO CLI, GnucDNA support, windows and many subprojects are built-in.
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Web Textual eXtraction Tools C++ Parallel web crawler, noun phrase idenification, Multi-lingual Part of Speech Tagging, Tarjan's Algorithm, Co-RelationShip Mappings...