pdfcomments
pytkml
pdfcomments | pytkml | |
---|---|---|
1 | 3 | |
129 | 5 | |
0.0% | - | |
4.7 | 0.0 | |
11 months ago | almost 3 years ago | |
Python | Python | |
- | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
pdfcomments
-
Ask HN: What is something you built but never marketed?
I made a simple tool to extract comments from PDFs with different severity levels. Mainly developed for my use marking up documents for review in an academic context, a need many academics have but I'm not sure how many others.
https://github.com/hoffmangroup/pdfcomments
pytkml
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Ask HN: What have you created that deserves a second chance on HN?
Code: https://github.com/rbitr/pytkml
I didn't explain it well; this is an area that's becoming increasingly important
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Ask HN: What is something you built but never marketed?
I worked on (wouldn't say I completed) a testing framework for ML models, where you can specify a series of tests for a model to pass. The unique part is emphasizing support from the training data for the inferences you expect the model to make, i.e. checking that similar training data exists for some test cases and is influential in predicting them. It's pretty niche, and I don't explain it very well, but I remain convinced that with the right framing it represents a more rigorous way of making sure machine learning models are built and used "responsibly".
https://github.com/rbitr/pytkml
- Show HN: Writing tests for machine learning models
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