# uber-research/DeepPruner

<https://repo.masters-masters.com/en/repos/uber-research/DeepPruner>

[Home](https://repo.masters-masters.com/en) › [uber-research](https://repo.masters-masters.com/en/owners/uber-research) › [DeepPruner](https://repo.masters-masters.com/en/repos/uber-research/DeepPruner)

uber-research/DeepPruner has 364 stars on GitHub. Its RepoMasters card: Alpha tier. DeepPruner: Learning Efficient Stereo Matching via Differentiable…

| Field | Value |
| --- | --- |
| Owner | [uber-research](https://repo.masters-masters.com/en/owners/uber-research) |
| Stars | 364 |
| Forks | 41 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Topics | stereo-matching, real-time, stereo-vision, iccv2019, patchmatch, pytorch |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [uber-research/DeepPruner](https://github.com/uber-research/DeepPruner) |

## Repository

DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)

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.