CommunityNews
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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Popular General Dev topics
This Keyboard Lets People Type So Fast It’s Banned From Typing Competitions.
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Two US lawyers fined for submitting fake court citations from ChatGPT.
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Christian Mills - Testing Intel’s Arc A770 GPU for Deep Learning Pt. 2.
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There are countless articles why developers should not focus on Frameworks too much and instead learn to understand the underlying langua...
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After six months of hard work, I’m thrilled to announce the general availability of Sidekiq 8.0! :partying_face::tada:
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Free and open source software is the default choice for the technologies that run our world, and it’s built and maintained by people like...
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You might be thinking we should just ask who’s not using VSCode :joy: however there are some new additions in the space that might give V...
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I ended up cancelling my Moonlander order as I think it’s just going to be a bit too bulky for me.
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A few weeks ago I started using Warp a terminal written in rust. Though in it’s current state of development there are a few caveats (tab...
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This is going to be a long an frequently posted thread.
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Author Spotlight:
Bruce Tate
@redrapids
Programming languages always emerge out of need, and if that’s not always true, they’re defin...
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This is cool!
DEEPSEEK-V3 ON M4 MAC: BLAZING FAST INFERENCE ON APPLE SILICON
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