Search Results for "lsh"
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Showing 11 open source projects for "lsh"
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LSHSUM
TTAK.KO-12.0276 LSH Recursive Hasher written in Go
This project is licensed under the ISC License. Copyright © 2020-2021 ALBANESE Research Lab Source code: https://github.com/pedroalbanese/lshsum Visit: http://albanese.atwebpages.com -
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Reformer PyTorch
Reformer, the efficient Transformer, in Pytorch
This is a Pytorch implementation of Reformer. It includes LSH attention, reversible network, and chunking. It has been validated with an auto-regressive task (enwik8). -
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LSHMAC
LSH-256 Hash-based Message Autentication Code Utility
This project is licensed under the ISC License. Copyright © 2020-2021 ALBANESE Research Lab Source code: https://github.com/pedroalbanese/lshsum Visit: http://albanese.atwebpages.com -
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KISA Toolkit
Korea Internet & Security Agency's Cipher Suite written in Go
Golang implementation of cryptographic algorithms designed by Republic of Korea. The Korea Internet & Security Agency (KISA) is distributing source codes that you can easily use. South Korean National Standard Algorithms: • LSH Message digest algorithm. 256/512-bit hash value. • ARIA 128-bit Block cipher with 128/192/256-bit keys. • LEA 128-bit Block cipher with 128/192/256-bit keys. • SEED 128-bit Block cipher with 128/256-bit keys. • HIGHT 64-bit Block cipher with 128bit key. Cryptographic Functions: • Symmetric Encryption/Decryption • Hash Digest • CMAC (Cipher-based message authentication code) • HMAC (Hash-based message authentication code) • PBKDF2 (Password-based key derivation function 2) Copyright (c) 2020-2021 Pedro Albanese - ALBANESE Lab Visit: http://albanese.atwebpages.com -
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HIERDENC
Clustering of categorical data sets with locality-sensitive hashing
...The clustering is achieved via a locality-sensitive hashing of categorical datasets for speed and scalability. The locality-sensitive hashing method implemented is described in the video lectures under www.mmds.org (Chapter 3). Information needed for LSH, such as shingles/tokens, MinHash signatures, band hashes to buckets are stored in several database tables. Information needed for clustering purposes, such as the most significant pairwise object similarities and density-based similarities are also stored in tables. An early version of the fast database-based retrieval of nearest neighbors and clustering in large categorical datasets was published in: Bill Andreopoulos, Aijun An, Xiaogang Wang, Dirk Labudde. ... -
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This library implements several locality sensitive hashing(LSH) based algorithms, including indexing data structure for high dimensional spaces and metric spaces, sketch constructions and set embedding algorithms.
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Locality Sensitive Hashing is an improved indexing method for high dimensional data. lshtools provides indexing with LSH and an intelligent non supervised subsampling strategy using this indexing method.
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RAMdisk-based Operating System for conducting Security Audits. Includes hping2, xprobe, netcat, lsh, wardialer, and more -- all on 1 computer disk. Runs off your RAM, so there is no need to reformat your computer. Great for pen testing!
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Lisp Shell is a shell, in wich lisp-like syntax is used. It is written in C and uses GNU readline library. This program is intended to scripts, wich you may write using LISP programming language. LSH was tested with Linux and FreeBSD on i386.
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