HN user
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? Probably best not to have yet another separately maintained python JIT.
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.org/t/julia-motivation-why-weren...
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.
In what way?
Do you do data science?
Golang is far far inferior in many ways, for scientific programming. For starters, it doesn't have generics.
Gotcha. Is it definitely technically feasible, or is that still unknown?
How close are we to web assembly compilation?
Julia has tons of general purpose development going, including an mvc web framework (genie.jl) and a reactive web app framework called (escher.jl)
What is your opinion on both languages?
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 probability distributions?