We have collection of more than 400,000 open source products ranging from Enterprise product to small libraries in all platforms. We aggregate information from all open source repositories. Search and find the best for your needs.
Displaying 1 to 9 from 9 results
S-Space - A scalable software library for semantic spaces
The S-Space Package is a collection of algorithms for building Semantic Spaces as well as a highly-scalable library for designing new distributional semantics algorithms. Distributional algorithms process text corpora and represent the semantic for words as high dimensional feature vectors.
Semantic Vectors - Creating and Searching Semantic Vector using Lucene
The Semantic Vectors package uses a Random Projection algorithm, a form of automatic semantic analysis. Other methods supported by the package include Latent Semantic Analysis (LSA) and Reflective Random Indexing. Latent Semantic Analysis (LSA) is a theory and method for extracting and representing the contextual-usage meaning of words by statistical computations applied to a large corpus of text. This library is used in semantic analysis and text mining.
Cl-random-indexing - Random Indexing library for Common Lisp
Random Indexing library for Common Lisp
Decomposer - A collection of extremely large matrix decomposition algorithm implementations, in Java
Sparse matrices which don't fit in RAM need special treatment as far as decomposition is concerned. Parallelizable and/or stream-oriented algorithms are needed. Currently implemented: Singular Value Decomposition using the Asymmetric Generalized Hebbian Algorithm outlined in Genevieve Gorrell & Brandyn Webb's paper: http://www.scribd.com/doc/7017586/Gorrell-Webb Additionally, there is a Lanczos implementation, both single-threaded, and in the contrib/hadoop subdirectory, as a hadoop map-reduce j
Context-indexing - Common Lisp implementation of Context Indexing algorithm
Common Lisp implementation of Context Indexing algorithm
Creddump - Extracts credentials from Windows registry hives
creddump is a python tool to extract various credentials and secrets from Windows registry hives. It currently extracts: LM and NT hashes (SYSKEY protected) Cached domain passwords LSA secrets It essentially performs all the functions that bkhive/samdump2, cachedump, and lsadump2 do, but in a platform-independent way. It is also the first tool that does all of these things in an offline way (actually, Cain & Abel does, but is not open source and is only available on Windows).
Lsa-lda - LSA and LDA implementation
Oct 12th, 2009LDA via gibbs sampling code is available now, you can download it from downloads page, file name:ldaviagibbs.zip. To compile and run, please refer to the HOWTO article in Wiki page. If you find any bugs, please tell me. Jul 31, 2009LDA Code & Latent Dirichlet Allocation note.pdf are now available Jul 29, 2009LSA Code & Latent semantic analysis note.pdf are now available Jul 27, 2009Project lsa-lda created ~ Jul 27,2009Read LSA & LDA related papers
Lsac - LSA Compiler
Compilateur créé pour un cours de théorie des langages.
Qforegsics - analyze windows registry hives
A qt4 app that visualizes on disk registry hives. It provides a gui, and basic statistics. Annotates some binary fields in SAM hives to allow them to be interpreted more easiliy. Decrypts SAM hashes and lsa secrets (PolEncryptionKey & PolEKlist). developed on linux, tested for windows. YMMV patches welcome.
