# NVIDIA/cuEquivariance

<https://repo.masters-masters.com/en/repos/NVIDIA/cuEquivariance>

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

NVIDIA/cuEquivariance has 446 stars on GitHub. Its RepoMasters card: Alpha tier. cuEquivariance is a math library that is a collective of low-level primitives…

| Field | Value |
| --- | --- |
| Owner | [NVIDIA](https://repo.masters-masters.com/en/owners/NVIDIA) |
| Stars | 446 |
| Forks | 47 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2024 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [NVIDIA/cuEquivariance](https://github.com/NVIDIA/cuEquivariance) |

## Repository

cuEquivariance is a math library that is a collective of low-level primitives and tensor ops to accelerate widely-used models, like DiffDock, MACE, Allegro and NEQUIP, based on equivariant neural networks. Also includes kernels for accelerated structure prediction.

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.