eda_nlp VS AREnets

Compare eda_nlp vs AREnets and see what are their differences.

AREnets

Tensorflow-based framework which lists attentive implementation of the conventional neural network models (CNN, RNN-based), applicable for Relation Extraction classification tasks as well as API for custom model implementation (by nicolay-r)
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eda_nlp AREnets
1 1
1,536 7
- -
0.0 3.9
about 1 year ago 6 months ago
Python Python
- 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.

eda_nlp

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

AREnets

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

What are some alternatives?

When comparing eda_nlp and AREnets you can also consider the following projects:

Sentence-Adder-Anki-Addon - Add sentences to Anki editor window in one click

pointnet - PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

genius - 💡GENIUS – generating text using sketches! A strong text generation & data augmentation tool.

thesaurus - Offline database of synonyms/thesaurus

pytorch_deep_learning - Using Pytorch to Create Deep Learning Models.