# psyrocloud/MS-SSIM\_L1\_LOSS

<https://repo.masters-masters.com/en/repos/psyrocloud/MS-SSIM_L1_LOSS>

[Home](https://repo.masters-masters.com/en) › [psyrocloud](https://repo.masters-masters.com/en/owners/psyrocloud) › [MS-SSIM\_L1\_LOSS](https://repo.masters-masters.com/en/repos/psyrocloud/MS-SSIM_L1_LOSS)

psyrocloud/MS-SSIM\_L1\_LOSS has 108 stars on GitHub. Its RepoMasters card: Prototype tier. Pytorch implementation of MS-SSIM L1 Loss function

| Field | Value |
| --- | --- |
| Owner | [psyrocloud](https://repo.masters-masters.com/en/owners/psyrocloud) |
| Stars | 108 |
| Forks | 14 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [psyrocloud/MS-SSIM\_L1\_LOSS](https://github.com/psyrocloud/MS-SSIM_L1_LOSS) |

## Repository

Pytorch implementation of MS-SSIM L1 Loss function

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

## Nearby in Jupyter Notebook

- [cisco-foundation-ai/cookbook · ★ 108 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/cisco-foundation-ai/cookbook)
- [mbergo/all-rag-techniques · ★ 108 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/mbergo/all-rag-techniques)
- [sscs-ose/sscs-chipathon-2026 · ★ 108 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/sscs-ose/sscs-chipathon-2026)
- [johnymontana/nlp-graph-notebooks · ★ 108 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/johnymontana/nlp-graph-notebooks)
- [unnati-xyz/intro-to-deep-learning-for-nlp · ★ 108 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/unnati-xyz/intro-to-deep-learning-for-nlp)
- [unnati-xyz/music-generation · ★ 108 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/unnati-xyz/music-generation)

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