Turing.jl
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Bayesian inference with probabilistic programming.
See e.g. https://github.com/TuringLang/Turing.jl/issues/1851#issuecomment-1173963099
Question on: https://github.com/TuringLang/Turing.jl/edit/master/docs/_tutorials/10_bayesian-differential-equations.md
This pull request changes the compat entry for the `Libtask` package from `0.6.7, 0.7` to `0.6.7, 0.7, 0.8`. This keeps the compat entries for earlier versions. Note: I have not...
This pull request changes the compat entry for the `AdvancedPS` package from `0.3` to `0.3, 0.4` for package test. This keeps the compat entries for earlier versions. Note: I have...
The type signatures on everything make error messages very hard to read. Should we look at `@concrete terse struct` to cut down on that?
This pull request changes the compat entry for the `AdvancedPS` package from `0.3.4` to `0.3.4, 0.4`. This keeps the compat entries for earlier versions. Note: I have not tested your...
``` julia> obj, init, trans = optim_objective(model, MAP(); constrained=false) julia> ForwardDiff.gradient(trans, x0) ``` errors in ``` ERROR: TypeError: in typeassert, expected Float64, got a value of type Dual{Nothing, Float64, 9}...
I'm not certain whether or not this can be considered a "Turing.jl-issue" or not, but I figured I would at least raise it as an issue here so people are...
As discussed on Slack, it would be very useful to expose more AdvancedHMC configuration options to the `NUTS`, `HMC`, and `HMCDA` convenience constructors here. In particular, it would be nice...
- Customised `sample` function. https://gist.github.com/torfjelde/cc5c41e97eb4c97e22a19b8440f6d506 - Benchmarking AD backends. https://gist.github.com/torfjelde/cc5c41e97eb4c97e22a19b8440f6d506