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Telegram QA with ArXiV papers

We will build a neural question and answering system using transformers models (RoBERTa). This approach is capable to perform Q&A across millions of documents in few seconds.

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Why and how we use Intel's Hyperscan ? Part 1/2

Hyperscan is a high-performance multiple regex matching library. It follows the regular expression syntax of the commonly-used libpcre library, but is a standalone library with its own C API. Hyperscan uses hybrid automata techniques to allow simultaneous matching of large numbers (up to tens of thousands) of regular expressions and for the matching of regular expressions across streams of data. Hyperscan is typically used in a DPI library stack.

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Why and how we use manticoresearch ? Part 1/2

Open source text search engine for big data and stream filtering

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Welcome to paper2code

It has been a 2 month journey to create this specific search engine. The aim is to aggregate all you need to know about a paper and its implementation.

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