zeroshot_topics VS awesome-open-data-annotation

Compare zeroshot_topics vs awesome-open-data-annotation and see what are their differences.

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zeroshot_topics awesome-open-data-annotation
3 3
60 383
- 3.1%
0.0 4.7
11 months ago 6 months ago
Python
Apache License 2.0 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.

zeroshot_topics

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

awesome-open-data-annotation

Posts with mentions or reviews of awesome-open-data-annotation. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-07.

What are some alternatives?

When comparing zeroshot_topics and awesome-open-data-annotation you can also consider the following projects:

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

make-sense - Free to use online tool for labelling photos. https://makesense.ai

TabFormer - Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)

awesome-ai-safety - 📚 A curated list of papers & technical articles on AI Quality & Safety

kogpt - KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)

cleanlab - The standard package for machine learning with noisy labels and finding mislabeled data. Works with most datasets and models. [Moved to: https://github.com/cleanlab/cleanlab]

frame-semantic-transformer - Frame Semantic Parser based on T5 and FrameNet

cappr - Completion After Prompt Probability. Make your LLM make a choice

dgl-ke - High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

prosodic - Prosodic: a metrical-phonological parser, written in Python. For English and Finnish, with flexible language support.

weasel - Weakly Supervised End-to-End Learning (NeurIPS 2021)