# shehzaidi/pre-training-via-denoising

<https://repo.masters-masters.com/en/repos/shehzaidi/pre-training-via-denoising>

[Home](https://repo.masters-masters.com/en) › [shehzaidi](https://repo.masters-masters.com/en/owners/shehzaidi) › [pre-training-via-denoising](https://repo.masters-masters.com/en/repos/shehzaidi/pre-training-via-denoising)

shehzaidi/pre-training-via-denoising has 100 stars on GitHub. Its RepoMasters card: Prototype tier. Official implementation of pre-training via denoising for…

| Field | Value |
| --- | --- |
| Owner | [shehzaidi](https://repo.masters-masters.com/en/owners/shehzaidi) |
| Stars | 100 |
| Forks | 14 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | denoising, denoising-autoencoders, graph-neural-networks, molecular-property-prediction, molecular-structures, pre-training, pytorch, score-matching, deep-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [shehzaidi/pre-training-via-denoising](https://github.com/shehzaidi/pre-training-via-denoising) |

## Repository

Official implementation of pre-training via denoising for TorchMD-NET

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.