Maxim Milakov

Maxim Milakov is a researcher in machine learning and high-performance computing

OVERVIEW

This web page milakov.org currently has a traffic classification of zero (the lower the better). We have evaluated nineteen pages inside the website milakov.org and found one website referring to milakov.org. We were able to acquire one contacts and locations for milakov.org to help you contact them. We were able to acquire one public media accounts enjoyed by milakov.org. This web page milakov.org has been on the internet for six hundred and twenty weeks, nineteen days, seventeen hours, and thirteen minutes.
Pages Analyzed
19
Links to this site
1
Contacts
1
Locations
1
Social Links
1
Online Since
Dec 2012

MILAKOV.ORG RANKINGS

This web page milakov.org has seen variant levels of traffic until the end of the year.
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MILAKOV.ORG HISTORY

This web page milakov.org was began on on December 27, 2012. It is currently six hundred and twenty weeks, nineteen days, seventeen hours, and thirteen minutes young.
REGISTERED
December
2012

BUSINESS PERIOD

11
YEARS
10
MONTHS
20
DAYS

LINKS TO BUSINESS

WHAT DOES MILAKOV.ORG LOOK LIKE?

Desktop Screenshot of milakov.org Mobile Screenshot of milakov.org Tablet Screenshot of milakov.org

CONTACTS

Maxim Milakov

Lenin, 36b, 51

Yaroslavl, 150054

RU

MILAKOV.ORG HOST

Our web crawlers identified that the main root page on milakov.org took two hundred and thirty-four milliseconds to come up. Our crawlers could not discover a SSL certificate, so in conclusion we consider this site not secure.
Load time
0.234 seconds
SSL
NOT SECURE
Internet Address
172.217.12.179

NAME SERVERS

ns37.domaincontrol.com
ns38.domaincontrol.com

BOOKMARK ICON

SERVER OPERATING SYSTEM AND ENCODING

I caught that this domain is weilding the GSE operating system.

TITLE

Maxim Milakov

DESCRIPTION

Maxim Milakov is a researcher in machine learning and high-performance computing

CONTENT

This web page milakov.org states the following, "A researcher in machine learning and high-performance computing." Our analyzers saw that the webpage stated " I have added multi-GPU support to nnForge." The Website also said " Both training and inferene can be done on multiple GPUs now. Single node only is supported. Training is parallelized with data parallel approach, where mini-batch is split across multiple GPUs. The framework moved to C 11 now, you will need gcc 4. 7 or newer to build the lib, and MS VS 2013 for Windows."

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