weasel VS zeroshot_topics

Compare weasel vs zeroshot_topics and see what are their differences.

weasel

Weakly Supervised End-to-End Learning (NeurIPS 2021) (by autonlab)
Machine Learning Deep Learning weak-supervision end-to-end-learning pytorch-lightning multi-source-weak-supervision weakly-supervised-learning
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zeroshot_topics

Topic Inference with Zeroshot models (by maxent-ai)
zeroshot-learning NLP Machine Learning Data Science Transformers huggingface keybert Bert keyword-extraction nli text-classification labelled-data labelling Text weakly-supervised-learning weak-supervision knowledge-graph taxonomy hypernymy-extraction Linguistics
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weasel zeroshot_topics
1 3
153 60
0.0% -
3.1 0.0
about 1 year ago 11 months ago
Python Python
Apache License 2.0 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.

weasel

Posts with mentions or reviews of weasel. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-21.

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.

What are some alternatives?

When comparing weasel and zeroshot_topics you can also consider the following projects:

snorkel - A system for quickly generating training data with weak supervision

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

argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.

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

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

awesome-open-data-annotation - Open Source Data Annotation & Labeling Tools

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 vs snorkel zeroshot_topics vs BERTopic weasel vs argilla zeroshot_topics vs TabFormer zeroshot_topics vs kogpt zeroshot_topics vs cleanlab zeroshot_topics vs frame-semantic-transformer zeroshot_topics vs awesome-open-data-annotation zeroshot_topics vs cappr zeroshot_topics vs dgl-ke zeroshot_topics vs prosodic