ml-surveys
must-read-ai-papers
ml-surveys | must-read-ai-papers | |
---|---|---|
1 | 1 | |
2,736 | 13 | |
- | - | |
0.0 | 0.0 | |
about 1 year ago | about 2 years ago | |
MIT License | MIT License |
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
must-read-ai-papers
-
What is the top paper that one must absolutely read in their deep learning roadmap?
I have a short list of papers here that I really enjoy reading, ranging a lot of topics, not just DL. Hope it can serve as a reference. https://github.com/minhlong94/must-read-ai-papers
What are some alternatives?
applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
awesome-artificial-intelligence-research - A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.
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-deep-learning-papers - The most cited deep learning papers
PERSIA - High performance distributed framework for training deep learning recommendation models based on PyTorch.
awesome-artificial-intelligence - A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Awesome-Text2SQL - Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.
cs-video-courses - List of Computer Science courses with video lectures.
paper_annotations - A place to keep track of all the annotated papers.
WhereIsAI - AI company, product, and tool collection.
LLM4Rec-Awesome-Papers - A list of awesome papers and resources of recommender system on large language model (LLM).