REaLTabFormer VS Annotated-ML-Papers

Compare REaLTabFormer vs Annotated-ML-Papers and see what are their differences.

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REaLTabFormer Annotated-ML-Papers
5 1
183 187
5.5% -
5.6 6.6
11 days ago 24 days ago
Jupyter Notebook
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.

REaLTabFormer

Posts with mentions or reviews of REaLTabFormer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-14.

Annotated-ML-Papers

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

What are some alternatives?

When comparing REaLTabFormer and Annotated-ML-Papers you can also consider the following projects:

ydata-synthetic - Synthetic data generators for tabular and time-series data

rust-bert - Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

SkinDeep - Get Deinked!!

KoGPT - GPT-2 pretrained on Korean datasets.

tdk-demo - This is a collection of TDK demo projects that use different databases and options