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Jul 2, 2020
datasets
Here are 798 public repositories matching this topic...
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Mar 16, 2020 - Python
Enhancement description
I have these errors in log on each start:
backend_1 | Initializing database
backend_1 | Operations to perform:
backend_1 | Apply all migrations: admin, api, auth, authtoken, contenttypes, sessions, social_django
backend_1 | Running migrations:
backend_1 | No migrations to apply.
backend_1 | Your models have changes that are not y
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Jul 2, 2020 - JavaScript
Documentation is incomplete see tensorflow/datasets#704 (comment).
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Apr 29, 2020 - JavaScript
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Jul 2, 2020 - Python
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Jun 22, 2020 - Jupyter Notebook
I would be useful to implement support for various photoreceptor models so that it is possible to generate custom cone fundamentals down the road. I have started with Caroll et al. (2000), Stockman and Sharpe (2000), Lamb (1995) photoreceptor models in that notebook: https://colab.research.google.com/drive/1snhtUdUxUrTnw_B0kagvfz015Co9p-xv
We will obviously need support for various pre-receptor
The starter datasets came from R's samples, so their html documentation includes R examples on how to use the data. Would it be considered worthwhile to translate the usage information to Python3?
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Jun 6, 2020 - Vue
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flake8 testing of https://github.com/juand-r/entity-recognition-datasets on Python 3.7.0
$ flake8 . --count --select=E901,E999,F821,F822,F823 --show-source --statistics
./data/NIST_IEER/CONLL-format/utils/quick_comma_fix.py:41:37: E999 SyntaxError: invalid syntax
print annotations
^
./data/NIST_IEER/
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Jun 24, 2020
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Jun 21, 2020 - JavaScript
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Jun 26, 2020
Datasets can be listed with lots of filters, but strangely not by uploader user id.
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Jun 27, 2020 - Python
Example:
=======================
Book-Crossing 2016
Version and Author
Version 1.0 (Set 2016)
Arthur Fortes da Costa
University of São Paulo
Description
Collected by Cai-Nicolas Ziegler in a 4-week crawl (August / September 2004) from the Book-Crossing community with kind permission f
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Jun 14, 2018
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Dec 11, 2019
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While it's sometimes valuable to know how a project has developed, there is usually little justification for including this information in the README, and certainly not immediately after other key information such as "what does this package do, and who might want to use it?"
Might I recommend that the feature history is migrated to an Appendix in the documentation?