Yutong Zhao

@proteneer

methods development formerly and

Cambridge, MA
Vrijeme pridruživanja: kolovoz 2011.

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  1. proslijedio/la je Tweet

    Got protein-ligand datasets? BindingDB now has over 1200 downloadable validation sets, each with a protein, at least one cocrystal structure, and a set of additional ligands forming a congeneric series, all with measured binding data.

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  2. prije 10 sati

    Note that this isn’t *always* true: one still needs to do careful numerical analysis.

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  3. prije 12 sati

    random numerical oddities: we can drastically reduce the numerical error of (a-b)^2 by expanding into a*a-2a*b+b^2 However, if a and b are complex numbers this actually increases the error due to mixing of imaginary and real components.

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  4. 1. velj

    Coding is a meditative experience

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  5. 31. sij

    Exact gradients of approximate indirect functions of direct functions are more useful than exact gradients of the direct functions

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  6. 31. sij

    Nvidia plz stop crippling my double precision

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  7. 31. sij
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  8. proslijedio/la je Tweet
    29. sij

    Use OpenMM in your work? Please help us support and sustain OpenMM by contributing a letter of support! DM me for instructions on how you can help.

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  9. 29. sij

    fuck anaconda

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  10. 25. sij

    Don’t be afraid to work on hard problems. Instead, be afraid to work on problems that you don’t know if it’s hard.

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  11. 24. sij

    That feeling when half your time is spent doing a double precision square root

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  12. proslijedio/la je Tweet
    21. sij

    Interesting discussion on JVPs (Jacobian-vector products) used for forward differentiation vs. VJPs used for reverse differentiation in JAX, and the pushback / pullback views

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  13. proslijedio/la je Tweet
    21. sij

    New blog post, with a bit of unsolicited advice for job seekers. “How (Not) to Get a Job in Science”

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  14. proslijedio/la je Tweet
    19. sij

    Ok, I got a pretty good port of these Maxwell equation figures into Python. Heavy use of JAX and . I'll tidy up the code post it here later.

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  15. 17. sij

    As I get older, I find myself less passionate about the tools I use/build but much more about the problems they solve. Granted, knowing how to use your tools well or build them when needed is still massively useful!

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  16. 17. sij

    Going back to the future!

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  17. 15. sij

    Anyone know of any tricks to make floating point multiplication reversible? Similar to how we can make integer arithmetic reversible with modular multiplicative inverses (for odd numbers etc)

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  18. 12. sij

    that feeling when your jvp is the same as your vjp

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  19. 10. sij

    Got autodiff skills? Apply to our just-opened ML specialist position:

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  20. 9. sij

    Anyone know of a high quality reversible random number generator?

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