# iamalexkorotin/NeuralOptimalTransport

<https://repo.masters-masters.com/en/repos/iamalexkorotin/NeuralOptimalTransport>

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

iamalexkorotin/NeuralOptimalTransport has 239 stars on GitHub. Its RepoMasters card: Prototype tier. PyTorch implementation of "Neural Optimal Transport"…

| Field | Value |
| --- | --- |
| Owner | [iamalexkorotin](https://repo.masters-masters.com/en/owners/iamalexkorotin) |
| Stars | 239 |
| Forks | 26 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2023 |
| Topics | deep-learning, image-to-image-translation, neural-networks, optimal-transport, neural-optimal-transport, unpaired-translation |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [iamalexkorotin/NeuralOptimalTransport](https://github.com/iamalexkorotin/NeuralOptimalTransport) |

## Repository

PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)

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.