zeroshot_topics VS weasel

Compare zeroshot_topics vs weasel and see what are their differences.

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zeroshot_topics weasel
3 1
60 153
- 0.0%
0.0 3.1
11 months ago about 1 year 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.

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.

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.

What are some alternatives?

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

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

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

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

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

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.