frame-semantic-transformer VS nlu

Compare frame-semantic-transformer vs nlu 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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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. (by JohnSnowLabs)
Nlu natural-language-understanding sentiment-classifier text-classification Transformers language-detection named-entity-recognition Seq2seq t5 Lemmatizer spell-checker sentence-embeddings sentiment-analysis bert-embedding text-summarization text-translation Streamlit Pandas dependency-parsing entity-resolution
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frame-semantic-transformer nlu
1 25
49 818
- 2.0%
6.2 8.6
8 months ago 10 days 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.

nlu

Posts with mentions or reviews of nlu. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-25.

What are some alternatives?

When comparing frame-semantic-transformer and nlu you can also consider the following projects:

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

spark-nlp - State of the Art Natural Language Processing

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

spark-nlp-display - A library for the simple visualization of different types of Spark NLP annotations.

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

streamlit-webrtc-example - Real time video and audio processing examples with Streamlit and streamlit-webrtc

zeroshot_topics - Topic Inference with Zeroshot models

BERTweet - BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

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

PromCSE - Code for "Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning (EMNLP 2022)"

text-to-text-transfer-transformer - Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

ckip-transformers - CKIP Transformers

frame-semantic-transformer vs fastT5 nlu vs spark-nlp frame-semantic-transformer vs simpleT5 nlu vs spark-nlp-display frame-semantic-transformer vs KeyPhraseTransformer nlu vs streamlit-webrtc-example frame-semantic-transformer vs zeroshot_topics nlu vs BERTweet frame-semantic-transformer vs RATransformers nlu vs PromCSE nlu vs text-to-text-transfer-transformer nlu vs ckip-transformers