# juglab/n2v

<https://repo.masters-masters.com/en/repos/juglab/n2v>

[Home](https://repo.masters-masters.com/en) › [juglab](https://repo.masters-masters.com/en/owners/juglab) › [n2v](https://repo.masters-masters.com/en/repos/juglab/n2v)

juglab/n2v has 497 stars on GitHub. Its RepoMasters card: Alpha tier. This is the implementation of Noise2Void training. Language: Python.

| Field | Value |
| --- | --- |
| Owner | [juglab](https://repo.masters-masters.com/en/owners/juglab) |
| Stars | 497 |
| Forks | 119 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [juglab/n2v](https://github.com/juglab/n2v) |

## Repository

This is the implementation of Noise2Void training.

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

## More repos by juglab

- [juglab/EmbedSeg · ★ 131 · Python · Prototype](https://repo.masters-masters.com/en/repos/juglab/EmbedSeg)
- [juglab/FourierImageTransformer · ★ 100 · Python · Prototype](https://repo.masters-masters.com/en/repos/juglab/FourierImageTransformer)

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- [jackson-video-resources/markov-hedge-fund-method · ★ 497 · Python · Alpha](https://repo.masters-masters.com/en/repos/jackson-video-resources/markov-hedge-fund-method)
- [blazux/qwen3.8-Flash-DGX · ★ 497 · Python · Alpha](https://repo.masters-masters.com/en/repos/blazux/qwen3.8-Flash-DGX)
- [AIMS-RAIL/RAIL · ★ 497 · Python · Alpha](https://repo.masters-masters.com/en/repos/AIMS-RAIL/RAIL)
- [jacobian/django-deployment-workshop · ★ 497 · Python · Alpha](https://repo.masters-masters.com/en/repos/jacobian/django-deployment-workshop)
- [automl/RoBO · ★ 497 · Python · Alpha](https://repo.masters-masters.com/en/repos/automl/RoBO)
- [readthedocs/sphinx-autoapi · ★ 497 · Python · Alpha](https://repo.masters-masters.com/en/repos/readthedocs/sphinx-autoapi)

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