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    CompSci Weekend SuperThread (October 02, 2020) Computer Science

    CompSci Weekend SuperThread (October 02, 2020) Computer Science


    CompSci Weekend SuperThread (October 02, 2020)

    Posted: 01 Oct 2020 06:04 PM PDT

    /r/compsci strives to be the best online community for computer scientists. We moderate posts to keep things on topic.

    This Weekend SuperThread provides a discussion area for posts that might be off-topic normally. Anything Goes: post your questions, ideas, requests for help, musings, or whatever comes to mind as comments in this thread.

    Pointers

    • If you're looking to answer questions, sort by new comments.
    • If you're looking for answers, sort by top comment.
    • Upvote a question you've answered for visibility.
    • Downvoting is discouraged. Save it for discourteous content only.

    Caveats

    • It's not truly "Anything Goes". Please follow Reddiquette and use common sense.
    • Homework help questions are discouraged.
    submitted by /u/AutoModerator
    [link] [comments]

    Some more fun with recursive image transformations. Flips and rotations! Source code in comments!

    Posted: 01 Oct 2020 02:40 PM PDT

    Mobile Technology High Device

    Posted: 02 Oct 2020 12:10 AM PDT

    Visualizing the bead sort algorithm

    Posted: 01 Oct 2020 11:43 PM PDT

    [R] EvolGAN Boosts Image Quality for Small or Difficult Datasets

    Posted: 01 Oct 2020 11:45 AM PDT

    GAN models however require massive amounts of training data to reach decent performance. In an effort to make GANs more effective and reliable when only small, difficult, or multimodal datasets are available, a group of researchers from Facebook AI, University of the Littoral Opal Coast, University of Grenoble and University of Konstanz have proposed Evolutionary Generative Adversarial Networks (EvolGAN).

    Here is a quick read: EvolGAN Boosts Image Quality for Small or Difficult Datasets

    The paper EvolGAN: Evolutionary Generative Adversarial Networks is on arXiv.

    submitted by /u/Yuqing7
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