# OMR-Research/tf-end-to-end

<https://repo.masters-masters.com/en/repos/OMR-Research/tf-end-to-end>

[Home](https://repo.masters-masters.com/en) › [OMR-Research](https://repo.masters-masters.com/en/owners/OMR-Research) › [tf-end-to-end](https://repo.masters-masters.com/en/repos/OMR-Research/tf-end-to-end)

OMR-Research/tf-end-to-end has 155 stars on GitHub. Its RepoMasters card: Prototype tier. TensorFlow code to perform end-to-end Optical Music Recognition on…

| Field | Value |
| --- | --- |
| Owner | [OMR-Research](https://repo.masters-masters.com/en/owners/OMR-Research) |
| Stars | 155 |
| Forks | 61 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [OMR-Research/tf-end-to-end](https://github.com/OMR-Research/tf-end-to-end) |

## Repository

TensorFlow code to perform end-to-end Optical Music Recognition on monophonic scores through Convolutional Recurrent Neural Networks and CTC-based training.

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.