ml-surveys VS awesome-artificial-intelligence-research

Compare ml-surveys vs awesome-artificial-intelligence-research and see what are their differences.

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ml-surveys awesome-artificial-intelligence-research
1 1
2,736 112
- -
0.0 0.0
about 1 year ago over 1 year 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.

ml-surveys

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

awesome-artificial-intelligence-research

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

What are some alternatives?

When comparing ml-surveys and awesome-artificial-intelligence-research you can also consider the following projects:

applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-artificial-intelligence - A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

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.

ai-deadlines - :alarm_clock: AI conference deadline countdowns

PERSIA - High performance distributed framework for training deep learning recommendation models based on PyTorch.

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

transferlearning - Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

WhereIsAI - AI company, product, and tool collection.

must-read-ai-papers - A collection of must-read AI-related papers

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

machine-learning-resources - A curated list of awesome machine learning frameworks, libraries, courses, books and many more.