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OpenGL

OpenGL is a software interface that allows a programmer to communicate with graphics hardware.
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Ekoparty 2020

September 24, 2020 - September 26, 2020 • Virtual

An annual information security conference that, because of its unique characteristics and particular style, has become a referent for all Latin America.
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Managing teams to deliver projects/products on time is hard, but figuring out where your team collaboration is lacking can be even more painful. DeepAffects analyzes emotions and tones in issue description and comments to provide actionable insights to identify the high-resolution time issues, disagreements in the team.

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pytorch-lightning
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PyTorchLightning / pytorch-lightning

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MulticlassAUROC: Implement a multi-class version of the AUROC metric

1
NumesSanguis
NumesSanguis commented Sep 1, 2020

🚀 Feature

Create the metric MulticlassAUROC to allow for the AUROC metric to be used in multi-class problem settings. Or,
Expand the AUROC metric to support multi-class data, which would also directly solve this AUROC bug that instead gives a random value when used in multi-class problems: https://github.com/PyTorchLightning/

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Metrics enhancement good first issue help wanted
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scikit-learn / scikit-learn

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DOC Stop referencing preprocessing functions in user guide

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lucyleeow
lucyleeow commented Aug 27, 2020

Describe the issue linked to the documentation

Follows from #17387

Suggest a potential alternative/fix

Stop referencing preprocessing functions e.g. :

maxabs_scale
minmax_scale
normalize
quantile_transform
robust_scale
scale
power_transform

in the UG, and only add them e.g. in the "See Also" sections, or even just in the API ref.

In particular right now the first entr

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Documentation Easy good first issue
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EthicalML / awesome-production-machine-learning

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A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

machine-learning data-mining awesome deep-learning awesome-list interpretability privacy-preserving production-machine-learning mlops privacy-preserving-machine-learning explainability responsible-ai machine-learning-operations ml-ops ml-operations privacy-preserving-ml large-scale-ml production-ml large-scale-machine-learning
  • Updated Sep 8, 2020
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Codacy is an automated code analysis/quality tool that helps developers ship better software, faster. With Codacy, you get static analysis, cyclomatic complexity, duplication and code unit test coverage changes in every commit and pull request.

You can use Codacy to enforce your code quality standard, save time in code reviews, enforce security best practices and onboard developers faster. Integrate with your GitHub repositories to get quality analysis of every pull request inside GitHub.

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