# ncclabsustech/EEGdenoiseNet

<https://repo.masters-masters.com/en/repos/ncclabsustech/EEGdenoiseNet>

[Home](https://repo.masters-masters.com/en) › [ncclabsustech](https://repo.masters-masters.com/en/owners/ncclabsustech) › [EEGdenoiseNet](https://repo.masters-masters.com/en/repos/ncclabsustech/EEGdenoiseNet)

ncclabsustech/EEGdenoiseNet has 262 stars on GitHub. Its RepoMasters card: Alpha tier. EEGdenoiseNet, a benchmark dataset, that is suited for training and…

| Field | Value |
| --- | --- |
| Owner | [ncclabsustech](https://repo.masters-masters.com/en/owners/ncclabsustech) |
| Stars | 262 |
| Forks | 55 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2020 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [ncclabsustech/EEGdenoiseNet](https://github.com/ncclabsustech/EEGdenoiseNet) |

## Repository

EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comparing the performance across different models.

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

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