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Showing 4 open source projects for "bob"

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1

ISC - The ISAAC Stream Cipher

ISC lets you encrypt & decrypt text and files of any type up to 4GB

ISAAC is a cryptographically secure pseudo-random number generator (CSPRNG) and stream cipher. It was developed by Bob Jenkins from 1993-1996 and placed in the Public Domain. ISAAC is fast - especially when optimised - and portable to most architectures in nearly all programming and scripting languages. After more than 20 years of existence ISAAC has not been broken, and the little program you have here allows you to use it to encrypt and decrypt text of arbitrary length, files of any type, on a key-phrase of any complexity. ...

Downloads: 0 This Week

Last Update: 2015-09-26
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2

Bob-clock

Hardware description and software for the Bob-clock, a digital implementation of an analog clock using 60 bi-color LEDs for displaying the time. The hardware is based on an Atmel AVR ATmega324.

Downloads: 0 This Week

Last Update: 2013-04-26
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3

Eclipse-Based Object Bench (E-BOB)

E-BOB (Eclipse-Based Object Bench) is an Eclipse-based plug-in that allows for graphical instantiation of objects, and models to a limited extent the Object Bench of BlueJ.

Downloads: 0 This Week

Last Update: 2013-03-07
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4

Simulator Bob

3D mobile robot simulation environment. Due to the component-based design very flexible and also suitable for several other mechatronical systems. Planned to be used for a real distributed robot system currently being built up.

Downloads: 0 This Week

Last Update: 2013-03-22
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Cloud data warehouse to power your data-driven innovation
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.

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