equinox and e3nn-jax
Equinox is a general-purpose neural network framework for JAX that can be used to implement equivariant architectures, while e3nn-jax is a specialized library providing pre-built E(3)-equivariant building blocks—making them complements that can be used together, with e3nn-jax offering domain-specific components for Equinox users working on geometric deep learning problems.
Maintenance
16/25
Adoption
25/25
Maturity
25/25
Community
18/25
Maintenance
2/25
Adoption
22/25
Maturity
25/25
Community
13/25
Stars: 2,814
Forks: 180
Downloads: 1,237,379
Commits (30d): 3
Language: Python
License: Apache-2.0
Stars: 224
Forks: 20
Downloads: 158,867
Commits (30d): 0
Language: Python
License: Apache-2.0
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About equinox
patrick-kidger/equinox
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
About e3nn-jax
e3nn/e3nn-jax
jax library for E3 Equivariant Neural Networks
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