# tianyili2017/HEVC-Complexity-Reduction

<https://repo.masters-masters.com/en/repos/tianyili2017/HEVC-Complexity-Reduction>

[Home](https://repo.masters-masters.com/en) › [tianyili2017](https://repo.masters-masters.com/en/owners/tianyili2017) › [HEVC-Complexity-Reduction](https://repo.masters-masters.com/en/repos/tianyili2017/HEVC-Complexity-Reduction)

tianyili2017/HEVC-Complexity-Reduction has 126 stars on GitHub. Its RepoMasters card: Prototype tier. Source programs to test the deep-learning-based…

| Field | Value |
| --- | --- |
| Owner | [tianyili2017](https://repo.masters-masters.com/en/owners/tianyili2017) |
| Stars | 126 |
| Forks | 79 |
| Language | [C++](https://repo.masters-masters.com/en/languages/c-plus-plus) |
| License | None |
| Created | 2018 |
| Topics | hm-encodes, deep-learning, cu-partition |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [tianyili2017/HEVC-Complexity-Reduction](https://github.com/tianyili2017/HEVC-Complexity-Reduction) |

## Repository

Source programs to test the deep-learning-based complexity reduction approach for HEVC, at both intra- and inter-modes.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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