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A 3D Body from Eight Questions — No Photo, No GPU
We trained an MLP that predicts 58 body shape parameters from 8 questionnaire inputs. The trick: a differentiable physics loss. Mass accuracy: 0.3 kg mean vs 3.9 kg for Ridge. No GPU at inference.
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Ah, the eternal question, straight from the mailbag.
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This looks like a stunning keycap set :orange_heart:
A LEGENDARY KEYBOARD LIVES ON
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Author Spotlight
Rebecca Skinner
@RebeccaSkinner
Welcome to our latest author spotlight, where we sit down with Rebecca Skinner, auth...
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Explore the power of Ash Framework by modeling and building the domain for a real-world web application.
Rebecca Le @sevenseacat and ...
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Curious what kind of results others are getting, I think actually prefer the 7B model to the 32B model, not only is it faster but the qua...
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