ginjax: E(d)-Equivariant CNN for Tensor Images

Jupyter Notebook Python Submitted 25 March 2025Published 25 August 2025
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Authors

Wilson G. Gregory (0000-0002-5511-0683), Kaze W. k. Wong (0000-0001-8432-7788), David W. Hogg (0000-0003-2866-9403), Soledad Villar (0000-0003-4968-3829)

Citation

Gregory et al., (2025). ginjax: E(d)-Equivariant CNN for Tensor Images. Journal of Open Source Software, 10(112), 8129, https://doi.org/10.21105/joss.08129

@article{Gregory2025, doi = {10.21105/joss.08129}, url = {https://doi.org/10.21105/joss.08129}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {112}, pages = {8129}, author = {Gregory, Wilson G. and Wong, Kaze W. k. and Hogg, David W. and Villar, Soledad}, title = {ginjax: E(d)-Equivariant CNN for Tensor Images}, journal = {Journal of Open Source Software} }
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Jax machine learning E(d)-equivariance tensor images Equinox

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