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Automate contact and company data extraction
Build lead generation pipelines that pull emails, phone numbers, and company details from directories, maps, social platforms. Full API access.
Generate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
...LINE features algorithms for the solution of open queueing systems (e.g., M/M/1, M/M/k, M/G/1, ...), open and closed queueing networks, and layered queueing networks. Additional details are available on the project website: http://line-solver.sf.net.
The DREAM toolbox is a free open source acoustic field simulation tool
...The DREAM toolbox enables analysis of beam-steering, beam-focusing, and apodization for wideband (pulse) excitation both in near and far fields.
The code in the svn repository
# svn co http://svn.code.sf.net/p/dreamtoolbox/code/trunk dream
is not used actively anymore and is kept here for referecne only. The development code has moved to git on:
https://github.com/frli8848/DREAM
math lib for .NET. n-dim arrays, complex numbers, linear algebra, FFT, sorting, cells- and logical arrays as well as 3D plotting classes help developing algorithms on every platform supporting .NET. Sources from SVN, binaries: http://ilnumerics.net
OrangeHRM provides a world-class HRIS experience and offers everything you and your team need to be that HR hero you know that you are.
Give your HR team the tools they need to streamline administrative tasks, support employees, and make informed decisions with the OrangeHRM free and open source HR software.
approximate Bayesian computation for stochastic differential equations
...Variance components for the "measurement error" affecting the data/observations can be estimated. A 50-pages Reference Manual is provided with two case-studies implemented and discussed. The methodology is based on the research article available at http://arxiv.org/abs/1204.5459
Author's research page is http://www.maths.lth.se/matstat/staff/umberto/
Bayesian Surprise Matlab toolkit is a basic toolkit for computing Bayesian surprise values given a large set of input samples. It is also useful as way of exploring surprise theory. For more information see also: http://ilab.usc.edu/
Fast-DCM (Fast-DynamicCausalModelling) is an open-source addon for the SPM5 toolbox (http://www.fil.ion.ucl.ac.uk/spm/software/spm5/). It accelerates the estimation of Dynamic Causal Models.