turing.jl
https://github.com/turinglang/turing.jl
Julia
Bayesian inference with probabilistic programming.
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Help out
- Issues
- Question: Steps required to support Float32
- Use `values_as_in_model` to extract the parameters from a `Transition`
- Issues with constrained parameters depending on each other
- Wishart priors resulting in `PosDefException: matrix is not positive definite; Cholesky factorization failed`
- Can DifferentiationInterface be useful for Turing?
- `ADVI` is not up-to-date on the AD side
- LaTeX not rendering properly on PCA tutorial
- refactor tests into multiple Github CI steps
- Simple user error makes code evaluate forever - Calling DynamicPPL.Model as a function.
- Tutorial 2: Unsupervised Learning using Bayesian Mixture Models
- Docs
- Julia not yet supported