Boltzmann constant is not fundamental. There's no need for it at all if we switch from measuring temperature in Kelvin to Joules.
The Higgs.
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 say more?
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.
https://github.com/jbms/finance-dl
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: https://github.com/jbms/beancount-import…
You should adopt a similar solution https://github.com/redstreet/beancount_reds_plugins/tree/mai...
I highly recommend this service as well.
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 caveat is that one should be aware of how…
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 because their website claims they will…
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 called that a search engine rather than…
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?
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 series have good predictive power. I…
Boltzmann constant is not fundamental. There's no need for it at all if we switch from measuring temperature in Kelvin to Joules.
The Higgs.
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 say more?
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.
https://github.com/jbms/finance-dl
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: https://github.com/jbms/beancount-import…
You should adopt a similar solution https://github.com/redstreet/beancount_reds_plugins/tree/mai...
I highly recommend this service as well.
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 caveat is that one should be aware of how…
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 because their website claims they will…
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 called that a search engine rather than…
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?
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 series have good predictive power. I…