{"library":"cuequivariance-torch","type":"library","category":null,"description":"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.","language":"python","status":"active","version":"0.9.1","tags":["pytorch","cuda","equivariant-networks","3d-vision","deep-learning","geometric-deep-learning"],"last_verified":"Mon May 25","install":[{"cmd":"pip install cuequivariance-torch","imports":["from cuequivariance.modules import SO3Linear","from cuequivariance import SO3RotMat"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/cuequivariance-torch/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":13.1,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/cuequivariance-torch/compatibility"}}