# btgraham/SparseConvNet-archived

<https://repo.masters-masters.com/en/repos/btgraham/SparseConvNet-archived>

[Home](https://repo.masters-masters.com/en) › [btgraham](https://repo.masters-masters.com/en/owners/btgraham) › [SparseConvNet-archived](https://repo.masters-masters.com/en/repos/btgraham/SparseConvNet-archived)

btgraham/SparseConvNet-archived has 405 stars on GitHub. Its RepoMasters card: Alpha tier. Spatially-sparse convolutional networks. Allows processing of…

| Field | Value |
| --- | --- |
| Owner | [btgraham](https://repo.masters-masters.com/en/owners/btgraham) |
| Stars | 405 |
| Forks | 122 |
| Language | [C++](https://repo.masters-masters.com/en/languages/c-plus-plus) |
| License | None |
| Created | 2015 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [btgraham/SparseConvNet-archived](https://github.com/btgraham/SparseConvNet-archived) |

## Repository

Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
