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Awesome Metric Learning
The Metric Learning approach to data science problems is heavily underutilized. There are a lot of academic research papers around it but much fewer practical guides and tutorials.
So we decided that we could help people adopt metric learning by collecting related materials in one place.
We are publishing a curated list of awesome practical metric learning tools, libraries, and materials - https://github.com/qdrant/awesome-metric-learning!
This collection aims to put together references to all relevant materials for building your application using Metric Learning.
If you know some exciting article, helpful tool, or a blog post that helped you apply metric learning - feel free to PR your proposal!



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Awesome Metric Learning
The Metric Learning approach to data science problems is heavily underutilized. There are a lot of academic research papers around it but much fewer practical guides and tutorials.
So we decided that we could help people adopt metric learning by collecting related materials in one place.
We are publishing a curated list of awesome practical metric learning tools, libraries, and materials - https://github.com/qdrant/awesome-metric-learning!
This collection aims to put together references to all relevant materials for building your application using Metric Learning.
If you know some exciting article, helpful tool, or a blog post that helped you apply metric learning - feel free to PR your proposal!

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Neural Networks Engineering Telegram | DID YOU KNOW?

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To pay the bills, Mr. Durov is issuing investors $1 billion to $1.5 billion of company debt, with the promise of discounted equity if the company eventually goes public, the people briefed on the plans said. He has also announced plans to start selling ads in public Telegram channels as soon as later this year, as well as offering other premium services for businesses and users.

A Telegram spokesman declined to comment on the bond issue or the amount of the debt the company has due. The spokesman said Telegram’s equipment and bandwidth costs are growing because it has consistently posted more than 40% year-to-year growth in users.

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