Search Results for "gnu 32"
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5 projects for "gnu 32" with 2 filters applied:
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Snap7
32/64 bit multi-platform Ethernet S7 PLC communication suite
Snap7, through three specialized components: Client and the inedited Server and Partner, allows you to definitively integrate your PC based systems into a PLC automation chain. Designed to transfer large amounts of hi-speed data in industrial facilities, it scales easily, down to small Linux Arm boards such as Raspberry PI. Hi level object oriented wrappers are provided, currently C/C++, .NET/Mono, Pascal, LabVIEW, Python with many source code examples. Very easy to use, a full... -
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Image16
Image viewer/editor specialized in astrophotography 16bits processing
Opens/saves TIF, FITS, PNG, XISF, PXM, RAW, JPG, XCF, PSD, WEBP. AsinH, Sqrt, Ln, Exp and Sqr stretching, HSL and RGB adjusting, Levels and Curves adjusting and Background Extraction for Color Balance, Flatness and Gradient Correction. Arithmetic between images. Resizing and croping. Color Balance based on background, selection or stars B-V (after platesolving). Debayering/Bayering. Inversion, mirroring, rotation, barrel/pincushion correction. RGB alignment/shifting. Erode, Dilate, ...... -
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eLogSim
Digital circuit simulator
eLogSim is an event driven, 4-level (0,X,1,Z) digital circuit simulator. It uses a test oriented stimulus approach and offers a statistical (or exhaustive if it makes sense) fault simulation option. eLogSim has a simple GUI and is pre-compiled for Ubuntu 20, Mint 20, CentOS 8, openSUSE 15, FreeBSD 12, Solaris 11, Windows 10/11 & Raspbian/Raspberry PiOS Buster (32/64bit) & Ubuntu-MATE 20.04 (64 bit) operating systems. Cross platform & -network, concurrent fault simulation now available.... -
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MCCCS
Multi Channel Classification and Clustering
Here we present an image-based Multi Channel Classification and Clustering System (MCCCS). It is an generalized, script-based classification system for processing various kinds of image data. Due to the modular design, individual processing-components can be easily adapted, extended or exchanged by own extensions. See project website for installation instructions. -
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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Provides efficient, effective implementations of 32- and 64-bit hash functions based on Rabin fingerprints / irreducible polynomials, in Java. Also provides integration with java.security.MessageDigest API.
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