nlu VS Text-Summarization-using-NLP

Compare nlu vs Text-Summarization-using-NLP and see what are their differences.

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nlu Text-Summarization-using-NLP
25 2
809 33
0.9% -
8.6 0.0
12 days ago about 1 year ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

Text-Summarization-using-NLP

Posts with mentions or reviews of Text-Summarization-using-NLP. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing nlu and Text-Summarization-using-NLP you can also consider the following projects:

spark-nlp - State of the Art Natural Language Processing

haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

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

pytextrank - Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

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

skweak - skweak: A software toolkit for weak supervision applied to NLP tasks

frame-semantic-transformer - Frame Semantic Parser based on T5 and FrameNet

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

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

simpletransformers - Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI