TabularSemanticParsing VS bert-sklearn

Compare TabularSemanticParsing vs bert-sklearn and see what are their differences.

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TabularSemanticParsing bert-sklearn
1 1
214 293
0.5% -
0.0 0.0
11 months ago over 1 year ago
Jupyter Notebook Jupyter Notebook
BSD 3-clause "New" or "Revised" License Apache License 2.0
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.

TabularSemanticParsing

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

bert-sklearn

Posts with mentions or reviews of bert-sklearn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-08.

What are some alternatives?

When comparing TabularSemanticParsing and bert-sklearn you can also consider the following projects:

ecco - Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).

bert - TensorFlow code and pre-trained models for BERT