alexbw

6 ms·

1.
by alexbw 3y ago
Osmo | osmo.ai/careers | Full-time | Machine learning engineer, data analyst, in NYC and other roles We have digitized vision, and hearing, but not scent — our oldest and deepest sense. Join Osmo on our mission to give computers a sens
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by alexbw 7y ago
Thrive | Associate Director / Director, Machine Learning | Cambridge, MA | Full-time | Onsite | https://thrivedetect.com/come-to-thrive Thrive is passionate about our mission to integrate earlier #cancer detection to
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by alexbw 8y ago
Actually, advanced autodiff is one of its intended points of, er, differentiation :). The authors wrote the original Autograd package [0], released in 2014, that led to “autograd” becoming used as a generic term in PyTorch and other package
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by alexbw 8y ago
Check out github.com/google/jax, it’s NumPy on the GPU with automatic differentiation, JIT and autobatching.
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Source-To-Source Automatic Differentiation in Python(github.com)
1 points by alexbw 9y ago|0 comments
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Tangent: Source-To-Source Autodiff for Python(research.googleblog.com)
19 points by alexbw 9y ago|3 comments
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by alexbw 11y ago
+1 for more varied examples
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by alexbw 11y ago
Neat stuff. Are data structures up to the programmer, or are there primitives for e.g. matrices?
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Autograd: Painless, even pleasant, neural nets(blog.twitter.com)
5 points by alexbw 11y ago|0 comments
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Help support Talking Machines, an in-depth podcast on machine learning(kickstarter.com)
2 points by alexbw 11y ago|0 comments
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Help Us Continue Talking Machines(kickstarter.com)
1 points by alexbw 11y ago|0 comments
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Geoffrey Hinton, Yann LeCun and Yoshua Bengio Talk the History of Deep Nets(thetalkingmachines.com)
14 points by alexbw 12y ago|0 comments
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by alexbw 12y ago
Directly addresses the "dark art" of hyperparameter tuning in machine learning.
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Talking Machines Ep 4: Using Models in the Wild and Women in Machine Learning(thetalkingmachines.com)
4 points by alexbw 12y ago|0 comments
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Talking Machines Episode 3: Learning About Machine Learning(thetalkingmachines.com)
10 points by alexbw 12y ago|1 comments
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Talking Machines Podcast: Human Conversation About Machine Learning(thetalkingmachines.com)
9 points by alexbw 12y ago|0 comments
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“I want something superhuman”(whetlab.com)
4 points by alexbw 12y ago|0 comments
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by alexbw 13y ago
Poked around the word cloud, but the output of the clustering doesn't seem to many any sense to me. "boat" is by "scarecrow", "adopted", and "feelings" "window" is by "insulted&quo
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by alexbw 14y ago
@tuananh I've got the dataset stored away, but I don't know if I'm legally allowed to post it. Would love if someone could produce proof one way or the other. @viraj_shah I spent about 6 months working on the project before I had to stop to
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My Python Code for the Netflix Prize(github.com)
130 points by alexbw 14y ago|28 comments
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by alexbw 14y ago
You'd use Novocaine to grab the audio, and then you'd do the audio format conversion yourself. e.g.: [[Novocaine audioManager] setInputBlock:^(float * inData, UInt32 numSamples, UInt32 numChannels) { for (int i=0; i < numSamples * numCh
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by alexbw 14y ago
Fixed.
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by alexbw 14y ago
Documentation will be forthcoming. What do you mean by audio sample formats? One of the things I tried to do was make sure that you never, ever, EVER have to think about anything but floating point audio. In my experience, audio comes in as
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by alexbw 14y ago
Hey everybody, Novocaine is my baby, and it's completely awesome to see folks already using it. For the record, it's open-source, I just forgot to stick the MIT license at the top. Or would folks prefer BSD? Let me know, I'm flexible. The o
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Novocaine: painless high-performance audio on iOS and OS X(alexbw.github.com)
109 points by alexbw 14y ago|40 comments
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by alexbw 15y ago
Sounds intriguing, just signed up. Don't have an excuse to not try to bang out some work that's been sitting on the back burner.