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Note its possible to write the example more succinctly (while having the same behavior) with: https://docs.rs/itertools/latest/itertools/trait.Itertools.h...

When I tried DVC ~5 years ago it was very slow as it constantly hashed files for some reason. Switched to https://github.com/kevin-hanselman/dud and I have been happy since ..

There are libraries that help with these conversions. See e.g.: https://docs.rs/bytemuck/latest/bytemuck/trait.TransparentWr...

Japan passed a law allowing use of copyrighted material for machine learning. https://www.deeplearning.ai/the-batch/japan-ai-data-laws-exp...

Actually another reason people use the architecture is for process level isolation, i.e. limiting the blast radius of memory corruption. But in both cases, Im sure you could design…

You can also check https://github.com/sequenceplanner/r2r for another example of ROS2 bindings (using in production at work for a couple of ROS nodes). But TBH, in a Rust world, it…

Well each time you use the await keyword you are saying its a safe point to exit, which is more predictable than killing at random points. Holding locks across await points is an a…

One advantage of async/await is that its easier to cancel things. For example, this leads to the design pattern where you have multiple futures and you want to select the one that …

There are a few options I’ve seen for “liveview” type approaches in Python, see e.g. reactpy and streamlit. (Assuming you are not looking specifically for something that transpiles…

That would work nicely :)

Hi is there any plan to have high level model training tools (one example is things like Pytorch dataset loaders), or is the focus more on inference/deployment use cases?

Actually chemical weapons don’t do well on “cost effectiveness”, apparently: https://acoup.blog/2020/03/20/collections-why-dont-we-use-ch...

Maybe variational inference is a possibility? You can try searching for black box stochastic gradient variational inference, easy to use and scales well.

Another example is RealNVP, which has the same structure to enable inversion (partition, process half, then use the result to mutate the other half in an invertible way). Sadly, I …

This is another factor to consider regarding carbs/starches, in addition to the more commonly known ones like GI: https://en.m.wikipedia.org/wiki/Resistant_starch

I think there are some newer tests which only require maternal blood and can screen for some genetic conditions by filtering extra-cellular genetic material.

Maybe they can use something like this? https://blog.acolyer.org/2019/11/01/optimized-risk-scores/ They optimise a simple set of decision rules which has reasonable accuracy in the…