frame-semantic-transformer VS zeroshot_topics

Compare frame-semantic-transformer vs zeroshot_topics and see what are their differences.

frame-semantic-transformer

Frame Semantic Parser based on T5 and FrameNet (by chanind)
framenet huggingface NLP semantic-parsing t5 Transformers
Source Code
chanind.github.io
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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
Source Code
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frame-semantic-transformer zeroshot_topics
1 3
49 60
- -
6.2 0.0
8 months ago 11 months ago
Python Python
MIT License Apache License 2.0
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frame-semantic-transformer

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

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 frame-semantic-transformer and zeroshot_topics you can also consider the following projects:

fastT5 - ⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

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

nlu - 1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

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

simpleT5 - simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.

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

KeyPhraseTransformer - KeyPhraseTransformer lets you quickly extract key phrases, topics, themes from your text data with T5 transformer | Keyphrase extraction | Keyword extraction

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]

RATransformers - RATransformers 🐭- Make your transformer (like BERT, RoBERTa, GPT-2 and T5) Relation Aware!

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.

frame-semantic-transformer vs fastT5 zeroshot_topics vs BERTopic frame-semantic-transformer vs nlu zeroshot_topics vs TabFormer frame-semantic-transformer vs simpleT5 zeroshot_topics vs kogpt frame-semantic-transformer vs KeyPhraseTransformer zeroshot_topics vs cleanlab frame-semantic-transformer vs RATransformers zeroshot_topics vs awesome-open-data-annotation zeroshot_topics vs cappr zeroshot_topics vs dgl-ke