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Community AMA with Mike McQuaid
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Community AMA with Mike McQuaid

Join the GitHub community for an AMA with Staff Software Engineer, Author, Inventor and Homebrew Maintainer Mike McQuaid. We’ll discuss Open Source, burnout, mentoring, being a hands-on Dad and his Engineering values.

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GraphQL

GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data.
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Learn-Data-Science-For-Free
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therealsreehari / Learn-Data-Science-For-Free

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This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in Twitter.

data-science machine-learning natural-language-processing computer-vision machine-learning-algorithms artificial-intelligence neural-networks deeplearning datascienceproject
  • Updated Feb 10, 2021
SnowFS
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Snowtrack / SnowFS

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transformers
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huggingface / transformers

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Open

[trainer] port metrics logging and saving methods to all example scripts

stas00
stas00 commented Feb 22, 2021

In an effort to make the examples easier to read, in huggingface/transformers#10266 we added new trainer methods:

  • trainer.log_metrics - to perform consistent formatting for logged metrics
  • trainer.save_metrics - to save the metrics into a corresponding json file.

and deployed them in run_seq2seq.py.

The next task is do the same for all the other `examples

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tauri
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tauri-apps / tauri

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Resize is lagging.

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thienpow
thienpow commented Jul 9, 2020

it would be good to have
min-width, max-width <-- this 2 is good for PWA, if user resized it too small, it would become ugly.
maximized <-- this would be maximized on first load.

another thing would be, try delay webview resize when the host window resize, like how all the browser did, this would make sure PWA reflective size won't response immediately... current resize is seriously lagging

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enhancement good first issue
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