hierarchical-domain-adaptation
pykale
| hierarchical-domain-adaptation | pykale | |
|---|---|---|
| 1 | 2 | |
| 32 | 427 | |
| - | 0.2% | |
| 3.0 | 9.1 | |
| 8 months ago | 3 days ago | |
| Python | Python | |
| - | MIT License |
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hierarchical-domain-adaptation
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AI2 Introduces Efficient Hierarchical Domain Adaptation for Pretrained Language Models
Github: https://github.com/alexandra-chron/hierarchical-domain-adaptation
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.
What are some alternatives?
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