beto VS Annotated-ML-Papers

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

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beto Annotated-ML-Papers
1 1
479 187
0.6% -
4.5 6.6
7 months ago 19 days ago
Creative Commons Attribution 4.0 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.

beto

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

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 beto and Annotated-ML-Papers you can also consider the following projects:

BERTopic - Leveraging BERT and c-TF-IDF to create easily interpretable topics.

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

spark-nlp - State of the Art Natural Language Processing

KoGPT - GPT-2 pretrained on Korean datasets.

tokenizers - 💥 Fast State-of-the-Art Tokenizers optimized for Research and Production