Yuan Tang

@TerryTangYuan

PMC of & | Committer of , , & ElasticDL | Author of numerous open source projects

West Lafayette, IN
Vrijeme pridruživanja: kolovoz 2011.

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  1. Prikvačeni tweet
    23. sij

    Our {ggfortify} journal paper has reached over 100 citations! Super excited to see that it's been useful in research. With {autoplotly}📦, you can even dive into the plots interactively, powered by {ggplot2} and !

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  2. 2. velj

    SQLFlow is a cool project we have open sourced earlier - a bridge that connects various systems like to engines like , and then compiles to -native workflow.

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  3. 1. velj

    Great talk on automatic code generation by at Thanks for mentioning the efforts on {scaffolder} 📦 that aims to automate the generation of R interfaces to other languages! Check it out here:

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  4. 30. sij

    Check out this growing list of adopters for MPI Operator - allreduce-style distributed training on ! If your company would like to be included here, please send us a pull request!

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  5. 21. sij

    It’s amazing to see how much I’ve learned from the open source community. Thanks for all your support and encouragement! Happy Lunar New Year!

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  6. 16. sij

    The MPI Operator in can now be easily installed via . Thanks to contributors from !

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  7. 10. sij

    Excited to announce the v0.11.0 release from SIG IO with support for various files formats such as Ogg, FLAC, HDR, and HDFS. Thanks to all the contributors from the community!

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  8. 8. sij

    There's also a short history of this in the README cc:

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  9. 8. sij

    Introducing {scaffolder} 📦: Tools to automate scaffolding R interfaces to packages written in other programming languages such as . Still in very early stage and contributions welcomed!

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  10. 10. pro 2019.

    It's exciting to see that reticulate package has been integrated seamlessly into RStudio's products to enable interoperability between R and Python for DS teams!

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  11. 10. pro 2019.

    We've drafted the initial version of the roadmap for MPI Operator and any feedback would be appreciated :

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  12. proslijedio/la je Tweet
    7. stu 2019.

    We've added 21 new editors to the editorial team so far in 2019! In this short blog post we introduce our new editors and say thanks to those editors retiring from the team: ⚡️🚀💥

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  13. 19. stu 2019.

    Hi everyone! I recently opened up my Github Sponsors page. Your support would be really appreciated and would encourage my on-going involvements in the open source community! Please check it out here:

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  14. proslijedio/la je Tweet
    14. stu 2019.

    We've released Kubeflow 0.7, with beta functionality for many components in preparation for Kubeflow 1.0 & exciting additions like 0.2. This was a huge group effort. Thanks to all who contributed!

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  15. proslijedio/la je Tweet

    🎉 The wait is over! TensorFlow 2.0 is finally here. Driven by community feedback, this release provides a complete set of tools for developers, enterprises, and researchers to easily build ML applications. Read the blog ↓

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  16. 14. kol 2019.

    Happy to announce that metric-learn is now part of -contrib: . A white paper is also available on arXiv: Metric Learning Algorithms in Python by et al . Check it out!

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  17. proslijedio/la je Tweet
    18. srp 2019.

    metric-learn 0.5.0 is out 🎉 Check out the new API for learning on pairs/quadruplets, allowing to do cross-validation with , and the brand new documentation!

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  18. proslijedio/la je Tweet
    28. lip 2019.

    The Kubeflow operator is ready to test & use! Thanks to & others for getting this off the ground:

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  19. proslijedio/la je Tweet
    21. lip 2019.

    Totally psyched to read this story of finding, and contributing to SIG IO! Thank you so much for contributing, and making it easier for others to do so!

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  20. proslijedio/la je Tweet
    14. lip 2019.

    Excited to present our work (w/ & Edward Johns) on multi-task learning at on Tuesday 10:15am. If anyone loves to chat on transfer/multi-task learning, please find me at Poster 1.1 Scenes & Representation Session. Code available here:

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