Feynman Liang
Feynman Liang
# 🚀 Feature Request We would like to use the half normal (ie truncated Normal) available in pytorch at `dist.half_normal.HalfNormal` as a prior distribution for fully Bayesian GP inference. One...
# 🚀 Feature Request Sorry if this is already available, but I couldn't figure it out. I am interested in an `IdentityKernel()` i.e. Kroneker delta kernel $K(x,y) = \delta_{x,y} =...
Problem appears upstream to Distributions.jl, see https://github.com/JuliaStats/Distributions.jl/issues/650 The following code: ``` using Mamba dist = MixtureModel([ MvNormal([0,0], hcat([[1,0.99],[0.99,1]]...)), MvNormal([-.8,.8], hcat([[1,0.75],[0.75,1]]...)) ]) model = Model( x = Stochastic(1, () -> dist...
**Context**: I am working on some low-code tooling for langchain and GPT index. As part of this work, I would like to represent langchain classes as JSON, ideally with a...
**Describe the bug** When the OCI password contains a ")", this action fails with "bash: syntax error near unexpected token `)'". Root cause is https://github.com/appany/helm-oci-chart-releaser/blob/main/action.yaml#L45 does not escape its input....
Attempting to use `theanets.recurrent.Text` on a UTF8 encoded corpus used to give an error ``` --------------------------------------------------------------------------- UnicodeEncodeError Traceback (most recent call last) /home/fl350/bachbot/scripts/theanet/theanet.py in () 24 with codecs.open(path, 'r', 'utf-8')...
If I understand correctly, recurrent network training in theanets currently uses `self.h_0` as the initial state (which defaults to `None`, implying all zeros) for every training example. This goes well...
Summary: ### Motivation VI currently uses legacy world. This updates it to use the new `World` class. ### Changes proposed VI maintains its own set of `params` so that a...
Summary: To support the use of `bm.param`s in the generative model, beanmachine's VI now: * Traces through `World` in addition to `VariationalWorld` so that `param`s used in `World` are added...
Summary: Support's torch.optim.LBFGS by passing a closure Differential Revision: D38171088