Style-Transfer-in-Text VS awesome-refreshing-llms

Compare Style-Transfer-in-Text vs awesome-refreshing-llms and see what are their differences.

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Style-Transfer-in-Text awesome-refreshing-llms
3 1
1,580 113
- 3.5%
1.2 6.4
about 1 year ago 5 months ago
- MIT License
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.

Style-Transfer-in-Text

Posts with mentions or reviews of Style-Transfer-in-Text. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-01.

awesome-refreshing-llms

Posts with mentions or reviews of awesome-refreshing-llms. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Style-Transfer-in-Text and awesome-refreshing-llms you can also consider the following projects:

gpt-2-simple - Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts

SimplyRetrieve - Lightweight chat AI platform featuring custom knowledge, open-source LLMs, prompt-engineering, retrieval analysis. Highly customizable. For Retrieval-Centric & Retrieval-Augmented Generation.

Speech-Separation-Paper-Tutorial - A must-read paper for speech separation based on neural networks

Awesome-Text2SQL - Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.

Neural-Style-Transfer-Papers - :pencil2: Neural Style Transfer: A Review

AlignLLMHumanSurvey - Aligning Large Language Models with Human: A Survey

arpa

EasyEdit - An Easy-to-use Knowledge Editing Framework for LLMs.

start-llms - A complete guide to start and improve your LLM skills in 2024 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

LLM-Agent-Paper-List - The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

awesome-llm - Awesome series for Large Language Model(LLM)s

LLM4Rec-Awesome-Papers - A list of awesome papers and resources of recommender system on large language model (LLM).