algorithms VS Recognition-of-logical-document-structures

Compare algorithms vs Recognition-of-logical-document-structures and see what are their differences.

Recognition-of-logical-document-structures

First approach for recognizing logical document structures like texts, sentences, segments, words, chars and sentence/segment depth based on recurrent neural network grammars. (by Psarpei)
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algorithms Recognition-of-logical-document-structures
1 2
556 4
1.1% -
5.9 0.0
8 months ago over 4 years ago
C++ C++
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

algorithms

Posts with mentions or reviews of algorithms. We have used some of these posts to build our list of alternatives and similar projects.

Recognition-of-logical-document-structures

Posts with mentions or reviews of Recognition-of-logical-document-structures. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing algorithms and Recognition-of-logical-document-structures you can also consider the following projects:

Algorithms - A collection of data structures and algorithms written in C++ with comments and links to further reading.

ML-University - Machine Learning Open Source University

ac-library - AtCoder Library

Multi-Type-TD-TSR - Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition

callofcode - Coding exercises for beginners. Want to contribute, check out the issues.

tinymind - Tinymind is a Neural Network and Machine Learning project intended to provide a C++ template library for neural nets and machine learning algorithms within embedded systems.

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Did you know that C++ is
the 7th most popular programming language
based on number of references?