fvncc

4 ms·

1.
by fvncc 10mo ago
Note its possible to write the example more succinctly (while having the same behavior) with: https://docs.rs/itertools/latest/itertools/trait.Itertools.h...
2.
by fvncc 1y ago
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 ..
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by fvncc 1y ago
There are libraries that help with these conversions. See e.g.: https://docs.rs/bytemuck/latest/bytemuck/trait.TransparentWr...
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by fvncc 2y ago
Japan passed a law allowing use of copyrighted material for machine learning. https://www.deeplearning.ai/the-batch/japan-ai-data-laws-exp...
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by fvncc 3y ago
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 an ergonomic RPC framework that takes care of offloading c
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by fvncc 3y ago
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’s worth revisiting the assumptions be
7.
by fvncc 3y ago
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 anti-pattern, and Rust at least can give a hint if you try to
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by fvncc 3y ago
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 finishes first and cancel the rest. In regular threaded
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by fvncc 3y ago
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 to JS.)
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by fvncc 3y ago
That would work nicely :)
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by fvncc 3y ago
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?
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by fvncc 5y ago
Actually chemical weapons don’t do well on “cost effectiveness”, apparently: https://acoup.blog/2020/03/20/collections-why-dont-we-use-ch...
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by fvncc 6y ago
Maybe variational inference is a possibility? You can try searching for black box stochastic gradient variational inference, easy to use and scales well.
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by fvncc 6y ago
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 gather the computational performance Is pretty bad .. https
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by fvncc 7y ago
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
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by fvncc 7y ago
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.
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by fvncc 7y ago
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 their application, quite c