Text-Summarization-using-NLP
Text Summarization using NLP to fetch BBC News Article and summarize its text and also it includes custom article Summarization (by everydaycodings)
LLM-Finetuning-Toolkit
Toolkit for fine-tuning, ablating and unit-testing open-source LLMs. (by georgian-io)
Text-Summarization-using-NLP | LLM-Finetuning-Toolkit | |
---|---|---|
2 | 1 | |
33 | 669 | |
- | 0.0% | |
0.0 | 9.6 | |
about 1 year ago | 14 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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.
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.
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.
LLM-Finetuning-Toolkit
Posts with mentions or reviews of LLM-Finetuning-Toolkit.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-07.
What are some alternatives?
When comparing Text-Summarization-using-NLP and LLM-Finetuning-Toolkit 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.
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.
pytextrank - Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
skweak - skweak: A software toolkit for weak supervision applied to NLP tasks