Magenta

Magenta is a project devoted to music and art generation with machine intelligence. It is part of TensorFlow, an open source machine learning library.

OVERVIEW

This web page magenta.tensorflow.org currently has an average traffic classification of zero (the smaller the better). We have audited six pages inside the site magenta.tensorflow.org and found thirty-three websites associating themselves with magenta.tensorflow.org.
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6
Links to this site
33

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This web page magenta.tensorflow.org has seen alternating amounts of traffic until the end of the year.
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LINKS TO WEB PAGE

Emilia Gómez music engineering Researcher in music engineering

Two new industrial PhD projects. Two PhD students, Blai Meléndez-Català and Andrés Pérez-López, are joining my lab t. Hanks to the industrial doctorate progra. M from AGAUR, which supports collaboration between universities and industrial partners, in this case both from Barcelona. These students will work at the company but come to the lab for some time to interact and collaborate with us.

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WordWeb is designed to visualize word vectors of multiple languages. Data Selfie is a browser extension that tracks you while you are on Facebook to show you your own data traces and reveal what machine learning algorithms could predict about your personality based on that data. Modeling platform provides an alternative approach to 3D modeling that uses vector graphic layers to create a 3D object rather than sculpting tools. Build real-world games with Google Maps APIs. A design system is a collection of.

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MRMMcCann Technology Blog

New AI filter algorithms are able to improve greatly conventional hearing aids with selecting and amplifying specific sounds. The benefit is, that i. only one speech out of a crowd can be separated. Beside the people with hearing loss, voice recognition in smart phones, conversations in noisy environments and many other applications could also benefit from this technology.

虔心求学 Perry的个人博客

And got so close, yet so far away from 1st place! Data Until I Die! The challenge from the KDD Cup this year was to use their data relating to student enrollment in online MOOCs to predict who would drop out vs who would stay. The short story is that using H2O and a lot of my free time, I trained several hundred GBM models looking for the final one which eventually got me an AUC score of 0. 88127 on the KDD Cup leaderboard.

WHAT DOES MAGENTA.TENSORFLOW.ORG LOOK LIKE?

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MAGENTA.TENSORFLOW.ORG HOST

Our web crawlers detected that a lone root page on magenta.tensorflow.org took two thousand eight hundred and thirteen milliseconds to stream. Our crawlers discovered a SSL certificate, so in conclusion I consider this site secure.
Load time
2.813 seconds
SSL
SECURE
Internet Address
172.217.4.211

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SERVER OPERATING SYSTEM AND ENCODING

I caught that this website is employing the Google Frontend os.

TITLE

Magenta

DESCRIPTION

Magenta is a project devoted to music and art generation with machine intelligence. It is part of TensorFlow, an open source machine learning library.

CONTENT

This web page magenta.tensorflow.org states the following, "Make Music and Art Using Machine Learning." Our analyzers saw that the website also stated " Magenta is a Google Brain project to ask and answer the questions, Can we use machine learning to create compelling art and music? If so, how? If not, why not? Our work is done in TensorFlow, and we regularly release our models and tools in open source." The Website also said " These are accompanied by demos, tutorial blog postings and technical papers. To follow our progress, watch our GitHub and join our discussion group. Magenta wins Best Demo at NIPS 2016! Dec 16, 2016."

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