# llnl/LEAP

<https://repo.masters-masters.com/en/repos/llnl/LEAP>

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

llnl/LEAP has 259 stars on GitHub. Its RepoMasters card: Alpha tier. comprehensive library of 3D transmission Computed Tomography (CT) algorithms with Python…

| Field | Value |
| --- | --- |
| Owner | [llnl](https://repo.masters-masters.com/en/owners/llnl) |
| Stars | 259 |
| Forks | 38 |
| Language | [Cuda](https://repo.masters-masters.com/en/languages/cuda) |
| License | MIT |
| Created | 2023 |
| Topics | machine-learning, artificial-intelligence, computed-tomography, cone-beam, medical-imaging, parallel-beam, tomography, spect, vam, leap |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [llnl/LEAP](https://github.com/llnl/LEAP) |

## Repository

comprehensive library of 3D transmission Computed Tomography (CT) algorithms with Python and C++ APIs, a PyQt GUI, and fully integrated with PyTorch

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.