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Author:
Panagiotis Grontas
License:
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTI...
Summary:
A differentiable orthogonal projection layer for training hard-constrained neural networks.
Latest version:
0.2.0
Required dependencies:
beartype
|
cvxpy
|
cvxpylayers
|
equinox
|
flax
|
h5py
|
imageio
|
jax
|
jaxopt
|
jaxtyping
|
matplotlib
|
optax
|
ruamel-yaml
|
torch
|
tqdm
|
wandb
Optional dependencies:
basedpyright
|
gitlint
|
jax
|
pre-commit
|
pydoclint
|
pytest-cov
|
ruff
|
snowballstemmer
|
tomli
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