In the Crest catalog
e3nn/e3nn
A modular framework for neural networks with Euclidean symmetry
- Stars
- 1.3K
- Forks
- 189
- Language
- Python
- Last push
- 8mo ago
- Last release
- 8mo ago
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
Package · PyPI
e3nn
PyPI · v0.6.0 · MIT
Equivariant convolutional neural networks for the group E(3) of 3 dimensional rotations, translations, and mirrors.
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
Technologies
Install
pip install e3nnAdoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.41
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 6.1
- 35 versions over its life
Growth by period
PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
- 7 days
- Not published by PyPI
- Not published
- 30 days
- Not published by PyPI
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- 90 days
- Not published by PyPI
- Not published
- 1 year
- Not published by PyPI
- Not published
Adoption history
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
Facts from the registry
- Latest version
- v0.6.0
- 35 versions
- First published
- MAY 24, 2020
- Last release
- FEB 13, 2026
- 8mo ago
- Licence
- MIT
Repository
Dependencies latest version · v0.6.0
Runtime 4
- opt_einsum_fx
>=0.1.4 - scipyAny version
- sympyAny version
- torch
>=2.2.0
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