whyrt12

5 ms·

1.
by whyrt12 10y ago
I WANT to use pytorch, but no bayesian learning or stochastic nodes like in edward. Any chance there are plans to for a compatibility layer with Edward or roll your own bayesian stuff? Also, have you looked at Numba to do the jitting? Prob
2.
by whyrt12 10y ago
It does not have a tracing JIT, and its speed is by far not the only benefit. See link below It can precompile very fast code before runtime. Python will require an interpreter and or hefty runtime. https://discourse.julialang.or
3.
by whyrt12 10y ago
Once you can compile a julia app- front end, back and probabilistic prog/ML to web assembly and have it run in browser and mobile, it will skyrocket in popularity.
4.
by whyrt12 10y ago
In what way?
5.
by whyrt12 10y ago
Do you do data science?
6.
by whyrt12 10y ago
Golang is far far inferior in many ways, for scientific programming. For starters, it doesn't have generics.
7.
by whyrt12 10y ago
Gotcha. Is it definitely technically feasible, or is that still unknown?
8.
by whyrt12 10y ago
How close are we to web assembly compilation?
9.
by whyrt12 10y ago
Julia has tons of general purpose development going, including an mvc web framework (genie.jl) and a reactive web app framework called (escher.jl)
10.
by whyrt12 10y ago
What is your opinion on both languages?
11.
by whyrt12 10y ago
Can tou explain why qm and bell's inequality do not categorically undermine determinism and prove deep randomness ? Is it because on a macro scale amd normal energy levels effects are negligible? Because there are well followed probabi