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Domain > ausargeo.com
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More information on this domain is in
AlienVault OTX
Is this malicious?
Yes
No
DNS Resolutions
Date
IP Address
2024-10-27
104.21.53.105
(
ClassC
)
Port 80
HTTP/1.1 301 Moved PermanentlyDate: Wed, 17 Apr 2024 11:53:58 GMTContent-Type: text/htmlTransfer-Encoding: chunkedConnection: keep-aliveCache-Control: max-age3600Expires: Wed, 17 Apr 2024 12:53:58 GMT html>head>title>301 Moved Permanently/title>/head>body>center>h1>301 Moved Permanently/h1>/center>hr>center>cloudflare/center>/body>/html>
Port 443
HTTP/1.1 200 OKDate: Wed, 17 Apr 2024 11:53:58 GMTContent-Type: text/html; charsetutf-8Transfer-Encoding: chunkedConnection: keep-aliveAccess-Control-Allow-Origin: *Cache-Control: public, max-age0, mu !doctype html>html langen>head>meta charsetutf-8>meta namedescription contentSeismic processing research and software development>title>Ausar Geophysical/title>link relcanonical hrefhttps://ausargeo.com>link relstylesheet hrefhttps://stackpath.bootstrapcdn.com/bootstrap/4.1.3/css/bootstrap.min.css integritysha384-MCw98/SFnGE8fJT3GXwEOngsV7Zt27NXFoaoApmYm81iuXoPkFOJwJ8ERdknLPMO crossoriginanonymous>meta nameviewport contentwidthdevice-width,initial-scale1,shrink-to-fitno>link hrefhttps://fonts.googleapis.com/css?familyPlay relstylesheet>style>body{font-family:Play,sans-serif}.bg-yellow{background-color:#f90}.bg-olive{background-color:#404f24}.text-olive{color:#404f24}.bg-black{background-color:#000}/style>/head>body>header classpx-1>h3>Ausar Geophysical/h3>/header>main>section classbg-transparent jumbotron>div classpx-md-5 container mx-auto text-center>h1 classtext-uppercase display-5 display-md-3>Seismic processing R&D/h1>p>a href/cdn-cgi/l/email-protection#7b1a171a153b1a0e081a091c1e1455181416 rolebutton classtext-white btn bg-yellow btn-lg my-4>span class__cf_email__ data-cfemail6f0e030e012f0e1a1c0e1d080a00410c0002>email protected/span>/a>/p>/div>/section>section classcontainer-fluid px-0>div classtext-white bg-dark py-5>h2 classtext-uppercase display-4 text-center>Open source projects/h2>/div>section>div classpx-md-5 my-auto pb-5 px-4 pt-5>h3 classtext-uppercase>Deepwave/h3>p>By implementing forward modelling and backpropagation for the wave equation and Born modelling, on CPUs and GPUs, as a PyTorch module, Deepwave allows you to treat wave propagation as a step in a differentiable graph and benefit from the ease-of-use and automatic differentiation capabilities of PyTorch. You can easily use it for regular FWI, RTM, and LSRTM, but you can also add new steps before or after wave propagation, such as a deep neural network that generates the velocity model or a fancy (differentiable) cost function, and let PyTorch run forward modelling and backpropagation end-to-end./p>p>a hrefhttps://github.com/ar4/deepwav
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