interactive_tutorials
graph-mining | interactive_tutorials | |
---|---|---|
5 | 1 | |
555 | 85 | |
0.5% | - | |
5.7 | 6.6 | |
about 2 months ago | about 1 month ago | |
C++ | Jupyter Notebook | |
Apache License 2.0 | - |
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.
graph-mining
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Google open-sources their graph mining library
There are now more documents linked to in the README.md and an example you can try to run: https://github.com/google/graph-mining
interactive_tutorials
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Google open-sources their graph mining library
For those wanting to play with graphs and ML I was browsing the arangodb docs recently and I saw that it includes integrations to various graph libraries and machine learning frameworks [1]. I also saw a few jupyter notebooks dealing with machine learning from graphs [2].
Integrations include:
* NetworkX -- https://networkx.org/
* DeepGraphLibrary -- https://www.dgl.ai/
* cuGraph (Rapids.ai Graph) -- https://docs.rapids.ai/api/cugraph/stable/
* PyG (PyTorch Geometric) -- https://pytorch-geometric.readthedocs.io/en/latest/
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1: https://docs.arangodb.com/3.11/data-science/adapters/
2: https://github.com/arangodb/interactive_tutorials#machine-le...
What are some alternatives?
NetworkX - Network Analysis in Python
danbooru - A taggable image board written in Rails.
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evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
Human-pose-estimation - A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.
PyCBC-Tutorials - Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.