CUDA Equivariance for PyTorch

cuequivariance-torch provides CUDA-accelerated implementations of equivariant operations for PyTorch. It aims to efficiently handle geometric symmetries in deep learning models, particularly for 3D data, by offering modules for SO(3) rotations and SE(3) translations. The current version is 0.9.1, and it maintains an active development pace with new features and optimizations.