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
40 877
- 1.3%
0.0 8.4
almost 2 years ago 6 days ago
Python Python
MIT License GNU General Public License v3.0 or later
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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:

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

spark-nlp - State of the Art Natural Language Processing

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

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

haystack - AI 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.

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

LLM-Finetuning-Toolkit - Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.

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

LLM-Finetuning-Hub - Toolkit for fine-tuning, ablating and unit-testing open-source LLMs. [Moved to: https://github.com/georgian-io/LLM-Finetuning-Toolkit]

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

ReadabilityAnalyserDE - A analyser of German text readability

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

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