GNNs-Recipe VS awesome-artificial-intelligence-research

Compare GNNs-Recipe vs awesome-artificial-intelligence-research and see what are their differences.

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GNNs-Recipe awesome-artificial-intelligence-research
3 1
1,052 112
2.4% -
0.0 0.0
over 1 year ago over 1 year ago
Creative Commons Zero v1.0 Universal -
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.

GNNs-Recipe

Posts with mentions or reviews of GNNs-Recipe. 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 GNNs-Recipe and awesome-artificial-intelligence-research you can also consider the following projects:

euler - A distributed graph deep learning framework.

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

pytorch_geometric - Graph Neural Network Library for PyTorch

ai-deadlines - :alarm_clock: AI conference deadline countdowns

pytorch_geometric - Graph Neural Network Library for PyTorch [Moved to: https://github.com/pyg-team/pytorch_geometric]

applied-ml - ๐Ÿ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

graph-fraud-detection-papers - A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

transferlearning - Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-่ฟ็งปๅญฆไน 

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

ml-surveys - ๐Ÿ“‹ Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

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

awesome-decision-transformer - A curated list of Decision Transformer resources (continually updated)