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I'm not super into the `OpenPP` name. How about calling this `Probabilistic.jl`?
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@lgarrison and I have been chatting about the possibility of writing a paper describing what we're doing here. Something like "Differentiable programming with NUFFTs" or "NUFFTs for machine learning a…
dfm updated
11 months ago
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The intricate tapestry of music composition, a complex interplay of artistic expression and technical expertise, has long been considered an exclusive domain of human creativity. However, the rise of…
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#### Description
I was wondering if there was interest in adding a new imputation strategy (or a new Imputer class) based on a Gaussian Mixture Model (GMM) using the EM or CEM algorithm. The …
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Hi I'm new to Gaussian processes and just started integrating Gaussian process regression with an existing machine learning + probabilistic programming pipeline to develop better surrogate models for …
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Pyro's HMC and NUTS implementations are feature-complete and well-tested, but they are quite slow in models like the one in our [Bayesian regression tutorial](http://pyro.ai/examples/bayesian_regressi…
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All data has to be verified manually eventually before entering the final services collection. We want to de-dupe our DB in order to prevent the waste of volunteer time in the manual verification, but…
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### Ticket Contents
## Protean Overview
Protean eGov Technologies Limited provides IT services. The Company offers citizen services, e-governance solutions, system integration, business process re…
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Bayes nets and neural networks (ANN) have things in common - for example they are both directed graphical models.
What we are trying to estimate is the weights for each node that connects to the nod…