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Showing 5 open source projects for "parallel"
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Skillfully - The future of skills based hiringSkillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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The AI workplace management platformBy combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
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detectproj
Automated detection of the unknown early map projection
New scientific software supporting the automated detection of the early map projection and its parameters. Useful for studying and analysis of different kinds of maps with the lack of information about the map projection. The analysis is based on the minimization of residuals between control points on the early and current reference maps. Designed for cartographers as well as for enthusiasts. Available free of charge. The awareness of the map projection is primarily important... -
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ThéMA libs
Commons and utils Java classes used in ThéMA projects
This project contains 7 Java libraries developped in ThéMA laboratory : - common - data - parallel - drawshape - graph - network - msca -
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EPSILON is a powerful Open Source wavelet image compressor. The project is aimed on parallel and robust image processing.
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pRPL is a general-purpose parallel Raster Processing C++ programming Library. It enables the implementation of parallel raster-based algorithms without requiring a deep understanding of parallel computing, and greatly reduces the development complexity.
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Field Service+ for MS Dynamics 365 & SalesforceResco’s mobile solution streamlines your field service operations with offline work, fast data sync, and powerful tools for frontline workers, all natively integrated into Dynamics 365 and Salesforce.
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R package kOO
implementing k-spatial entropy methodology
The R package to be built aims at implementing what I did in a few scripts for the preparation of the papers I published in CaGEO and TGIS (see below). Basically this is related to the computation of the distribution of k co-occurrences of spatial events (generalising the contiguity distributions - 2 co-occurrences at distance 0) to derive spatial clustering statistics (mainly using the Shannon entropy, then called the k-spatial entropy) and methods linked to this: SOOk, SelSOOk (see caGEO...
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