# Ascend-Research/Turtle

<https://repo.masters-masters.com/en/repos/Ascend-Research/Turtle>

[Home](https://repo.masters-masters.com/en) › [Ascend-Research](https://repo.masters-masters.com/en/owners/Ascend-Research) › [Turtle](https://repo.masters-masters.com/en/repos/Ascend-Research/Turtle)

Ascend-Research/Turtle has 130 stars on GitHub. Its RepoMasters card: Prototype tier. \[ NeurIPS 2024 \] The official PyTorch implementation for Learning…

| Field | Value |
| --- | --- |
| Owner | [Ascend-Research](https://repo.masters-masters.com/en/owners/Ascend-Research) |
| Stars | 130 |
| Forks | 10 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | deblurring, denoising, deraining, image-restoration, neurips, restoration, super-resolution, superresolution, video, video-deblurring |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Ascend-Research/Turtle](https://github.com/Ascend-Research/Turtle) |

## Repository

\[ NeurIPS 2024 \] The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.

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.
