Metadata-Version: 2.4
Name: e2a2
Version: 0.0.1
Summary: E2A2: Encoding Efficient Asymmetric Autoencoders
Author-email: Dan Jacobellis <danjacobellis@utexas.edu>
License-Expression: LicenseRef-Proprietary
Project-URL: Repository, https://github.com/danjacobellis/E2A2
Project-URL: Issues, https://github.com/danjacobellis/E2A2/issues
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: torch
Requires-Dist: torchvision
Requires-Dist: timm
Requires-Dist: einops
Requires-Dist: gigatorch
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: datasets
Dynamic: license-file

# E2A2
Encoding Efficient Asymmetric Autoencoders
