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Update references to JAX's GitHub repo
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JAX has moved from https://github.com/google/jax to https://github.com/jax-ml/jax

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jakeharmon8 authored and fedjax authors committed Dec 5, 2024
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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -35,7 +35,7 @@ pip install --upgrade jax jaxlib # CPU-only version
```

For other devices (e.g. GPU), follow
[these instructions](https://github.com/google/jax#installation).
[these instructions](https://github.com/jax-ml/jax#installation).

Then, install FedJAX from PyPI:

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* https://jax.readthedocs.io/en/latest/notebooks/How_JAX_primitives_work.html
* https://dm-haiku.readthedocs.io/en/latest/

[JAX]: https://github.com/google/jax
[JAX]: https://github.com/jax-ml/jax
[Haiku]: https://github.com/deepmind/dm-haiku
[Stax]: https://github.com/google/jax/blob/main/jax/example_libraries/stax.py
[Stax]: https://github.com/jax-ml/jax/blob/main/jax/example_libraries/stax.py
[Optax]: https://github.com/deepmind/optax
2 changes: 1 addition & 1 deletion docs/index.rst
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FedJAX documentation
====================

FedJAX is a library for developing custom `Federated Learning (FL) <https://ai.googleblog.com/2017/04/federated-learning-collaborative.html>`_ algorithms in `JAX <https://github.com/google/jax>`_. FedJAX prioritizes ease-of-use and is intended to be useful for anyone with knowledge of NumPy.
FedJAX is a library for developing custom `Federated Learning (FL) <https://ai.googleblog.com/2017/04/federated-learning-collaborative.html>`_ algorithms in `JAX <https://github.com/jax-ml/jax>`_. FedJAX prioritizes ease-of-use and is intended to be useful for anyone with knowledge of NumPy.

.. toctree::
:maxdepth: 1
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2 changes: 1 addition & 1 deletion fedjax/core/dataclasses.py
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# Forked and slimmed down from
# https://flax.readthedocs.io/en/latest/_modules/flax/struct.html#dataclass
# https://github.com/google/jax/issues/2371
# https://github.com/jax-ml/jax/issues/2371
def dataclass(clz: type):
"""Creates a dataclass which can be passed to functional transformations."""
data_clz = dataclasses.dataclass(frozen=True)(clz)
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