frame-semantic-transformer VS RATransformers

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

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frame-semantic-transformer RATransformers
1 1
49 41
- -
6.2 0.0
8 months ago over 1 year ago
Python Python
MIT License 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.

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.

RATransformers

Posts with mentions or reviews of RATransformers. 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 RATransformers you can also consider the following projects:

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

AliceMind - ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

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.

extreme-bert - ExtremeBERT is a toolkit that accelerates the pretraining of customized language models on customized datasets, described in the paper “ExtremeBERT: A Toolkit for Accelerating Pretraining of Customized BERT”.

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

pixel - Research code for pixel-based encoders of language (PIXEL)

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

transformer-mlm - Implementation of Transformer Encoders / Masked Language Modeling Objective

zeroshot_topics - Topic Inference with Zeroshot models

lightning-mlflow-hf - Use QLoRA to tune LLM in PyTorch-Lightning w/ Huggingface + MLflow