Download JAR files tagged by hashing with all dependencies

Bitboard4j is a utility jar for commons bitboard operations. It provide implementation of Zobrist Hashing, Hamming Weight, and more...

FastCryptoUtils is a Java project designed to provide as many encryption and hashing methods as possible, while also leveraging system resources to accelerate these processes.

Sux4j is an implementation of succinct data structure in Java. It provides a number of related implementations covering ranking/selection over bit arrays, compressed lists and minimal perfect hashing.

Bcrypt is a password hashing function designed by Niels Provos and David Mazières, based on the Blowfish cipher. The core of this implementation is based on jBcrypt, but heavily refactored, modernized and with a lot of updates and enhancements.

Core library functionality concerned with general programming problems rather than multimedia specific functionality. Includes I/O utilities, randomisation, hashing and type conversion.

LSHDB is a parallel and distributed data engine, which relies on Locality-Sensitive Hashing and noSQL stores, for performing record linkage (and privacy-preserving record linkage) and similarity search tasks.

A Password hashing library inspired by PHP's password_*() function family. The goal is providing a unified interface for different hashing algorithms, as well as a way to upgrade hashes, both the parameters within a single hashing algorithm, as well as switching between different algorithms.

# Redis Scala client ## Key features of the library - Native Scala types Set and List responses. - Transparent serialization - Connection pooling - Consistent Hashing on the client. - Support for basic Redis sharding. http://redis.io/topics/partitioning - Support for Redis Sentinel

# Redis Scala client ## Key features of the library - Native Scala types Set and List responses. - Transparent serialization - Connection pooling - Consistent Hashing on the client. - Support for basic Redis sharding. http://redis.io/topics/partitioning - Support for Redis Sentinel

RuSH is an efficient, reliable, and easy adaptable rule-based sentence segmentation solution. It is specifically designed to handle the telegraphic written text in clinical note. It leverages a nested hash table to execute simultaneous rule processing, which reduces the impact of the rule-base growth on execution time and eliminates the effect of rule order on accuracy. If you wish to cite RuSH in a publication, please use: Jianlin Shi ; Danielle Mowery ; Kristina M. Doing-Harris ; John F. Hurdle.RuSH: a Rule-based Segmentation Tool Using Hashing for Extremely Accurate Sentence Segmentation of Clinical Text. AMIA Annu Symp Proc. 2016: 1587. The full text can be found at: https://knowledge.amia.org/amia-63300-1.3360278/t005-1.3362920/f005-1.3362921/2495498-1.3363244/2495498-1.3363247?timeStamp=1479743941616 This version allows defining section scopes for sentence segmentation.