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zburatorul

HN member
Joined
Fri, Jan 16, 2015, 11:05 PM UTC
HN karma
10
Public activity
14 items

About zburatorul

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Recent public activity

  1. comment
    Comment #42421996

    Boltzmann constant is not fundamental. There's no need for it at all if we switch from measuring temperature in Kelvin to Joules.

  2. comment
    Comment #41817023

    The Higgs.

  3. comment
    Comment #41815340

    I can see how scale free systems have their action stay invariant under more transformations. I'd like to better understand the connection with action stationarity/extreme. Can you…

  4. comment
    Comment #41476049

    Fidelity supports ofx downloads which makes the process easier than clicking buttons in a browser. OFX is very detailed, and ofx to cab conversion is solved I think.

  5. comment
    Comment #41476034

    https://github.com/jbms/finance-dl

  6. comment
    Comment #41476001

    Intrigued by beancount mode in vscode. Will try. I do otherwise employ the workflow you mention: automatic downloads and supervised but nearly automatic imports. For importing: htt…

  7. comment
    Comment #31232599

    You should adopt a similar solution https://github.com/redstreet/beancount_reds_plugins/tree/mai...

  8. comment
  9. comment
    Comment #28674841

    I highly recommend this service as well.

  10. comment
    Comment #28674817

    This should be the top comment in this thread imo. This service solves a lot of the issues mentioned. No need to call anyone and beg for a cancellation, just close the card. A cave…

  11. comment
    Comment #27172067

    And I highly advise caution with TokenTax. I chose them because I had ~2k transactions on Deribit, and they promised they can digest them. They don't give out refunds specifically …

  12. comment
    Comment #25997671

    This sounds interesting. Can you share more please? It sounds like there is some multilingual input text on the basis of which you make recommendations, but I think you would have …

  13. comment
    Comment #22062237

    So I'm using the gradients "grad" of the second network (the DDSP) to make a loss function for the first network, such as |grad|^2?

  14. comment
    Comment #22061930

    Do you think DDSP could be used for feature engineering/discovery? My setting is a time series that I want to do regression on. But it's not clear a priory what features of the ser…