pyglove
pykale
| pyglove | pykale | |
|---|---|---|
| 3 | 2 | |
| 321 | 427 | |
| 0.9% | 0.2% | |
| 8.3 | 9.1 | |
| 12 days ago | 6 days ago | |
| Python | Python | |
| Apache License 2.0 | 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.
pyglove
- PyGlove: Manipulating Python Programs
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🔥 Google Research Introduces An Extension of PyGlove: A General Purpose Python Library That Can Now Easily And Scalably Share Machine Learning Ideas As Code
👉 PyGlove represents ideas as symbolic rule-based patches, enabling researchers to write down the rules for models they have not seen. Quick Read: https://www.marktechpost.com/2023/02/08/google-research-introduces-an-extension-of-pyglove-a-general-purpose-python-library-that-can-now-easily-and-scalably-share-machine-learning-ideas-as-code/ Paper: https://arxiv.org/pdf/2302.01918.pdf Github: https://github.com/google/pyglove
pykale
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PyKale Preprint: Knowledge-Aware Machine Learning from Multiple Sources in Python [P][R]
A 10-page preprint is on arXiv to describe the green machine learning design principles behind our pipeline-based API below as well as features and examples in our PyKale library for multimodal learning and transfer learning with deep learning and dimensionality reduction on graphs, images, texts, and videos to enable and accelerate interdisciplinary research: [2106.09756] PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python (arxiv.org)
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[P] An introduction to PyKale https://github.com/pykale/pykale, a PyTorch library that provides a unified pipeline-based API for knowledge-aware multimodal learning and transfer learning on graphs, images, texts, and videos to accelerate interdisciplinary research. Welcome feedback/contribution!
Thank you LargeYellowBus for your valuable feedback! That's really helpful. It is weird to hear that the GitHub link was broken when you tried. It is here https://github.com/pykale/pykale and there have been 100+ unique visitors today. So it might be temporary on your side and you may try again.
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