Erdan Genc retweetledi
Erdan Genc
519 posts

Erdan Genc
@ErdanGenc
nlp @ averbis / dj / dad usual mood: (╯°□°)╯︵ ┻━┻ he / er
Katılım Nisan 2014
1.1K Takip Edilen87 Takipçiler
Erdan Genc retweetledi

@ApacheUIMA I love the new setDataPathElements(File/String...) and getDataPathElements() methods! Thank you guys!
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Erdan Genc retweetledi

📣 Apache UIMA 3.3.0 has just been released! 🤩
Check out the release notes 👀 What's your favourite feature or fix? 🤔 github.com/apache/uima-ui… 💾 uima.apache.org/downloads.cgi
#Apache #OpenSource #release
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Erdan Genc retweetledi

If you want to quickly prototype rule-based text annotation, we have a great new environment ready for you: IRuta - try it out now: mybinder.org/v2/gh/averbis/…
Peter Klügl@pkluegl
IRuta: UIMA Ruta kernel for Jupyter Notebook. A web-based IDE for Ruta easily be combined with Python in the same Notebook. You can now create interactive notebooks that run UIMA Ruta rules and visualize the results directly from your web-browser. github.com/averbis/IRuta
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Erdan Genc retweetledi

Fine-tune any of the 11,000 🤗 models in Amazon SageMaker,
And now, grab your custom code snippet right from the model page! 🔥🔥🔥
Learn more at hf.co/amazon
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Erdan Genc retweetledi
Erdan Genc retweetledi
Erdan Genc retweetledi

We wanted to use Instagram ads to highlight how ad tech invades your privacy. Instead, Facebook shut our account down: signal.org/blog/the-insta…

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Erdan Genc retweetledi

"yeah, we automated that with a jupyter notebook"
AI Memes for Artificially Intelligent Teens@ai_memes
Machine learning pipelines
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Erdan Genc retweetledi
Erdan Genc retweetledi

We're back this week with two new FSDL lectures.
1. Deploying machine learning models.
2. Monitoring models in production.
We cover strategies, tools, and concrete recommendations for how to get your models into production and keep them there.
Enjoy!
fullstackdeeplearning.com/spring2021/lec…
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Erdan Genc retweetledi

What I’m really looking for when hiring an engineer twitter.com/matvelloso/sta…
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Erdan Genc retweetledi

Looking forward to present our #NLProc work on "Clinical Outcome Prediction from Admission Notes" at next week's #EACL2021
We deploy a new admission->discharge task setup & propose outcome pre-training to integrate knowledge from unlabeled data.
Preprint
bit.ly/3284fQM

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