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facebookarchive/fbcunn

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Facebook's extensions to torch/cunn.

7 mentions on Hacker News by 7 people: 0 stories, 7 comments · first 2015-01-16 · latest 2016-11-10

Mentions per year 7 mentions · busiest year 2015 (4)
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  1. …[2] https://www.reddit.com/r/MachineLearning/comments/25lnbt/ama... [3] https://github.com/facebook/fbcunn
    comment by otoburb · 2016-11-10 · in Delivering real-time AI in the palm of your hand
  2. see https://github.com/facebook/fbcunn/blob/master/test/Referenc... for a loop nest that shows what the forward pass of a 2-d image convnet convolution module does. That's gussied up with convolution stride and padding and a bunch of C++11…
    comment by jhj · 2016-07-22 · in A Beginner's Guide to Understanding Convolutional Neural Networks
  3. …Microsoft CNTK - https://github.com/Microsoft/CNTK/ Facebook fbcunn - https://github.com/facebook/fbcunn/ They all utilize C++11 or later. Just as Hadoop pushed Java in the big data, map-reduce realm, I think these libraries wil
    comment by jbandela1 · 2016-05-11 · in Amazon DSSTNE: Deep Scalable Sparse Tensor Network Engine
  4. …... alleging .. that any right in any patent claim of Facebook is invalid or unenforceable. > https://github.com/facebook/fbcunn/blob/master/PATENTS
    comment by SixSigma · 2015-02-26 · in Ask HN: Is it safe to use Facebook's open source projects?
  5. …they claim this text file applies? There is also a file with the industry-standard name LICENSE ( https://github.com/facebook/fbcunn/blob/master/LICENSE ), with a standard looking BSD license in it. Surely somebody using it could claim…
    comment by frabcus · 2015-01-16 · in Facebook open-sources deep-learning modules
  6. Here's a link to the patent clause: https://github.com/facebook/fbcunn/blob/master/PATENTS DannyBee, I'm having a hard time envisioning what sort of scenario might trigger this, and what the repercussions might be. Any chance you could…
    comment by jawns · 2015-01-16 · in Facebook open-sources deep-learning modules
  7. …the fbcunn release (the fast convolution layers implemented via FFT, with the source available at https://github.com/facebook/fbcunn/tree/master/src/cuda/fft ). There's a lot more in fbcunn if you want to check it out.
    comment by ajtulloch · 2015-01-16 · in Facebook open-sources deep-learning modules