{"library":"e3nn","type":"library","category":null,"description":"e3nn is a Python library built on PyTorch for developing Euclidean (E(3)) equivariant neural networks. It focuses on symmetries related to 3D rotations, translations, and mirrors, providing fundamental mathematical operations like tensor products and spherical harmonics. The library is under active development, with version 0.6.0 being the current release, and follows a release cadence where the second version number is incremented for breaking changes.","language":"python","status":"active","version":"0.6.0","tags":["neural networks","equivariant","pytorch","machine learning","3d","geometry","group theory"],"last_verified":"Sat May 23","install":[{"cmd":"pip install --upgrade e3nn","imports":["from e3nn import o3","from e3nn.o3 import Irreps"]}],"homepage":"https://e3nn.org","github":"https://github.com/e3nn/e3nn","docs":"https://docs.e3nn.org/","changelog":"https://github.com/e3nn/e3nn/blob/main/.github/CHANGELOG.md","pypi":"https://pypi.org/project/e3nn/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":72.2,"avg_import_s":11.02,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/e3nn/compatibility"}}