zburatorul

6 ms·

1.
by zburatorul 2y ago
Boltzmann constant is not fundamental. There's no need for it at all if we switch from measuring temperature in Kelvin to Joules.
2.
by zburatorul 2y ago
The Higgs.
3.
by zburatorul 2y ago
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?
4.
by zburatorul 2y ago
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.
by zburatorul 2y ago
https://github.com/jbms/finance-dl
6.
by zburatorul 2y ago
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
7.
by zburatorul 4y ago
You should adopt a similar solution https://github.com/redstreet/beancount_reds_plugins/tree/mai...
8.
by zburatorul 5y ago
I highly recommend this service as well.
9.
by zburatorul 5y ago
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 binding one's agr
10.
by zburatorul 5y ago
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 work with you un
11.
by zburatorul 6y ago
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 recommender.
12.
by zburatorul 7y ago
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?
13.
by zburatorul 7y ago
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 imagine making t