EQTransformer
paraphraser
| EQTransformer | paraphraser | |
|---|---|---|
| 1 | 1 | |
| 281 | 402 | |
| - | - | |
| 3.8 | 0.0 | |
| 5 months ago | over 1 year ago | |
| Python | Python | |
| MIT License | MIT License |
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EQTransformer
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An Unethical Question
Here is a specific idea that would be interesting to test. SCITS released a ML P&S picker that supposedly is pretty good. They put the code on github (https://github.com/smousavi05/EQTransformer). I think a really easy idea would be to put it to the test against USGS picks in different areas. You can get IRIS data and run this in a different area that doesn't normally get much attention and see how it compares to the published catalog. Software like this always makes bold claims, so it would be nice to have independent, verified tests of it. You would just need to download the package (it's already on pypi so you can pip it), learn how to run it, and test against some real data. Would make for a decent paper actually.
paraphraser
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Dude... You can be tracked on the way you type now...
I am not an expert, but this seems good if you are familiar with python https://github.com/vsuthichai/paraphraser
What are some alternatives?
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x-transformers - A simple but complete full-attention transformer with a set of promising experimental features from various papers
Parrot_Paraphraser - A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
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EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.