NVIDIA / cuEquivarianceView on GitHub
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.
β˜†380Mar 25, 2026Updated this week

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