# Cambridge-ICCS/FTorch

<https://repo.masters-masters.com/en/repos/Cambridge-ICCS/FTorch>

[Home](https://repo.masters-masters.com/en) › [Cambridge-ICCS](https://repo.masters-masters.com/en/owners/Cambridge-ICCS) › [FTorch](https://repo.masters-masters.com/en/repos/Cambridge-ICCS/FTorch)

Cambridge-ICCS/FTorch has 208 stars on GitHub. Its RepoMasters card: Prototype tier. A library for directly calling PyTorch ML models from Fortran.

| Field | Value |
| --- | --- |
| Owner | [Cambridge-ICCS](https://repo.masters-masters.com/en/owners/Cambridge-ICCS) |
| Stars | 208 |
| Forks | 46 |
| Language | [Fortran](https://repo.masters-masters.com/en/languages/fortran) |
| License | MIT |
| Created | 2022 |
| Topics | fortran, pytorch, machine-learning, deep-learning, interoperability, torch, python, hacktoberfest, libtorch |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Cambridge-ICCS/FTorch](https://github.com/Cambridge-ICCS/FTorch) |

## Repository

A library for directly calling PyTorch ML models from Fortran.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## Nearby in Fortran

- [davidmorinNTNU/ABAQUS\_subroutines · ★ 213 · Fortran · Prototype](https://repo.masters-masters.com/en/repos/davidmorinNTNU/ABAQUS_subroutines)
- [SciFortran/SciFortran · ★ 211 · Fortran · Prototype](https://repo.masters-masters.com/en/repos/SciFortran/SciFortran)
- [esmf-org/esmf · ★ 210 · Fortran · Prototype](https://repo.masters-masters.com/en/repos/esmf-org/esmf)
- [Goddard-Fortran-Ecosystem/pFUnit · ★ 207 · Fortran · Prototype](https://repo.masters-masters.com/en/repos/Goddard-Fortran-Ecosystem/pFUnit)
- [brli3/CFD · ★ 201 · Fortran · Prototype](https://repo.masters-masters.com/en/repos/brli3/CFD)
- [certik/fastGPT · ★ 200 · Fortran · Prototype](https://repo.masters-masters.com/en/repos/certik/fastGPT)

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