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There are a few cases where I find myself wondering if we should make it more explicit how we can extend the train loop design to be more friendly for callbacks not having to cheat to get things like …
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I'm willing to spearhead a module or set of modules containing:
* general constrained and unconstrained nonlinear optimization (sqp, global optimization, etc.)
* nonlinear equation solving (newt…
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[This](http://papers.nips.cc/paper/5890-gradient-free-hamiltonian-monte-carlo-with-efficient-kernel-exponential-families.pdf) recent paper has attracted quite a lot of attention and implements a non-a…
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I looked through existing issues and didn't find someone suggesting this before. But you could in principle replace the special case matern functions by a parametrized type. The advantage is that 1.5 …
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*(apologies for closing and reopening)*
I noticed that `stderror()` (and by extension `coeftable()`) fails in this case with a DomainError:
```julia
using Turing
using SequentialSamplingMode…
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**Glide Version/Integration library (if any)**: 3.5.2
**Device/Android Version**: S4/4.4
**Issue details/Repro steps**: Load a different sized thumbnail and image, or placeholder and image and note th…
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Objectives:
- Improve performance through specialised protocols. For instance, secure comparison may be performed via generic bit decomposition but can in certain cases be made more efficient throu…
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Very exciting to learn about this effort! A julia native ML package improving on Sklearn is one of the key missing pieces of the ecosystem.
Here's a list of ideas I'd like to bring to your attentio…
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Presumably you use some form of grid-based A\* algorithm? Maybe it is better to 'group' nearby searches to reduce the stress of re-calculating paths that are very similar.
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I have been trying to implement the features described in the "[Controlling Perceptual Factors in Neural Style Transfer](https://arxiv.org/abs/1611.07865)" research paper.
The code that used for th…