# ML-GSAI/SMDM

<https://repo.masters-masters.com/en/repos/ML-GSAI/SMDM>

[Home](https://repo.masters-masters.com/en) › [ML-GSAI](https://repo.masters-masters.com/en/owners/ML-GSAI) › [SMDM](https://repo.masters-masters.com/en/repos/ML-GSAI/SMDM)

ML-GSAI/SMDM has 389 stars on GitHub. Its RepoMasters card: Alpha tier. Official PyTorch implementation for ICLR2025 paper "Scaling up Masked Diffusion Models…

| Field | Value |
| --- | --- |
| Owner | [ML-GSAI](https://repo.masters-masters.com/en/owners/ML-GSAI) |
| Stars | 389 |
| Forks | 29 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2024 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [ML-GSAI/SMDM](https://github.com/ML-GSAI/SMDM) |

## Repository

Official PyTorch implementation for ICLR2025 paper "Scaling up Masked Diffusion Models on Text"

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

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