Text-Summarization-using-NLP VS nlu

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

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Text-Summarization-using-NLP nlu
2 25
33 809
- 0.9%
0.0 8.6
about 1 year ago 11 days ago
Python Python
MIT License Apache License 2.0
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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.

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

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 - State of the Art Natural Language Processing

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

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

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

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

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