isentrop1c

7 ms·

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by isentrop1c 1y ago
Are you just a bot stealing reddit comments? ( https://www.reddit.com/r/MachineLearning/comments/1jsft3c/r_... )
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by isentrop1c 1y ago
Nicely stolen comment from reddit ( https://www.reddit.com/r/MachineLearning/comments/1jsft3c/r_... )
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by isentrop1c 2y ago
Location: Seoul Remote: Yes Willing to relocate: No Tech: LLM, python, ML, research CV: https://www.linkedin.com/in/zhanibek-omarov/ Email: zhanibek [dot] om @ gmail Summary: I'm a physics PhD doing ML resear
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A multi-GPU FHE library build with PyTorch(github.com)
1 points by isentrop1c 3y ago|0 comments
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by isentrop1c 3y ago
GPU is one part where modern design of Julia truly shines as it allows seamless reusability and composability. I wish the language gets the proper recognition and adoption
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by isentrop1c 4y ago
This is nice parallel with soft engineering staff. I often find that whoever does lotsa tinkering (building) can better which tool to use and why. Linux tinkering being it window managers, bash scripts might sound like a waste of time to t
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by isentrop1c 4y ago
Scikitlearn has a bunch of machine learning routines including knn, xdg, decision trees and so one. There is even a model zoo there. Id say bayesian mixed gaussian models to be in the same class of algorithms. Bayesian models have its own p
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by isentrop1c 4y ago
The analogy with physics and basically differential equations brings in familiar concepts from the "spherical cow in vacuum" world. If we wanna go technical, then acceleration too does not matter, cause jerk (acceleration of accel