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Submanifold Sparse Convolutional Networks

See original GitHub issue

https://arxiv.org/abs/1706.01307 https://github.com/facebookresearch/SparseConvNet

New paper from Facebook for dealing with sparse, volumetric data. Comes with some nice PyTorch code too! This could be a very useful paper for analyzing binding pockets featurized volumetrically (grid_featurizer does this already).

PRs adding submanifold sparse models to contrib/ welcome!

Issue Analytics

  • State:closed
  • Created 6 years ago
  • Comments:8 (4 by maintainers)

github_iconTop GitHub Comments

1reaction
rbharathcommented, Jul 26, 2017

Sounds good! PRs adding submanifold sparse networks to contrib/ would be very welcome.

0reactions
rbharathcommented, Mar 4, 2018

I’m going to close this issue since it looks like a very involved port, especially since we’ve decided to go all-in on TensorFlow instead of PyTorch for the time being.

Read more comments on GitHub >

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