Anshul Choudhary

@anshulheaven

Researcher -- Dynamical systems, Networks, Scientific Computation, Machine Learning. // Postdoc at NC State University.   🇮🇳🇩🇪🇺🇸

Somewhere over the rainbow
Vrijeme pridruživanja: siječanj 2016.

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  1. proslijedio/la je Tweet
    prije 19 sati

    In January, , , and I ran a short class at on topics we think are missing in most CS programs — tools we use every day that everyone should know, like bash, git, vim, and tmux. And now the lecture notes and videos are online!

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  2. 1. velj

    Got tears in my eyes. Wisdom comes from clean heart not knowledge.

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  3. proslijedio/la je Tweet
    29. sij

    OK, maybe you can mess with Texas, but definitely don't mess with the Sun:

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  4. proslijedio/la je Tweet
    24. sij

    We just released a large public dataset of >10k echocardiogram videos with clinical annotations . Great resource for the medical ML community!

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  5. 19. sij

    The fact that we have the concept of careers even today is so sickening. Can't u be a person who knows/have ability to know to work out things?

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  6. 19. sij

    This is the stupidest argument I have ever seen. Granted we are not growing but in order to reach optimal resource to population ratio, we need perhaps TFR of 1.0 or below. We need to decelarate now!

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  7. proslijedio/la je Tweet
    17. sij

    Beautiful quantum physics animations from the basics like • Wave-Particle duality • How lasers work • Tunneling effect to research level stuff like • Bose-Einstein condensate • Pump-probe technique All freely available on

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  8. proslijedio/la je Tweet
    15. sij

    We worked with to show that distributional RL, a recent development in AI research, can provide insight into previously unexplained elements of dopamine-based learning in the brain. Read the blog: (2/2)

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  9. proslijedio/la je Tweet

    Understanding how proteins fold is a fundamental scientific question that could one day help unlock treatments for a range of diseases. Excited that our work, which uses deep neural networks to predict protein structures, is published in today!

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  10. proslijedio/la je Tweet
    14. sij

    How To Train Interpretable Neural Networks That Accurately Extrapolate From Small Data. Today we released a new paper that showcases how to do just that using Scientific Machine Learning () techniques to encode non-data scientific information.

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  11. proslijedio/la je Tweet
    14. sij

    By restructuring math expressions as a language, Facebook AI has developed the first neural network that uses symbolic reasoning to solve advanced mathematics problems.

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  12. proslijedio/la je Tweet
    12. sij

    The funny thing about AIDungeon is due to all the GPT-2 pre-training on swaths of random web text, you can create an adventure game about literally anything. Here's one about installing OpenCV from source:

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  13. proslijedio/la je Tweet
    9. sij

    Thermodynamically-Efficient Local Computation: Classical and quantum information reservoirs and generators.

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  14. proslijedio/la je Tweet
    6. sij

    A ResNet 9 using Mish activation function beat the fastest CIFAR-10 training time to 94% accuracy on the Stanford DAWN Benchmark. Previous best - 28 seconds. New Score - 10.7 seconds. Find the PR - . Official Results (not updated) -

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  15. 8. sij

    Art is separate from the artist. I would still read his work even though I would be least interested in him personally.

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  16. proslijedio/la je Tweet
    6. sij

    We are really happy to announce that our paper on 'Long-term stability of cortical population dynamics underlying consistent behavior' has finally appeared in Nature Neuroscience . A great collaboration with 1/n

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  17. proslijedio/la je Tweet
    7. sij

    I completed my 1st data science project ~30 years ago. Since then I've been continuously developing a questionnaire I use for all new data projects, to ensure the right info is available from the start. I'm sharing it publicly today for the first time.

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  18. proslijedio/la je Tweet
    6. sij

    New from "Supervised Chaotic Source Separation by a Tank of Water" -- a bit of magic for the new year, in which water can be trained to separate signals from two chaotic attractors.

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  19. proslijedio/la je Tweet
    5. sij

    In 1956 "The Magical Number Seven, Plus or Minus Two: Some Limits on Our Capacity for Processing Information” by George A. Miller of Harvard University was published. It was a landmark of human memory research. Bell Labs adopted memory chunking in phone numbers (xxx)-xxx-xxxx

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