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Flax Authors
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Merge pull request #3644 from chiamp:release
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CHANGELOG.md

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- Add copy() method to Module. This is a user-friendly version of the internal clone() method with better
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defaults for common use cases.
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- NOTE: Remember to bump version number to 0.8.0
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0.8.0
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-----
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- Added [NNX](https://github.com/google/flax/tree/main/flax/experimental/nnx#nnx), a neural network library for JAX that provides a simple yet powerful module system that adheres to standard Python semantics. Its aim is to combine the robustness of Linen with a simplified, Pythonic API akin to that of PyTorch.
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- Added `nn.compact_name_scope` decorator that enables methods to act as compact name scopes as with regular Haiku methods. This makes porting Haiku code easier.
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- Add copy() method to Module. This is a user-friendly version of the internal clone() method with better
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defaults for common use cases.
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- Added [`BatchApply`](https://flax.readthedocs.io/en/latest/api_reference/flax.linen/layers.html#batchapply) class.
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- Added `sow_weights` option in attention layer.
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- Added [`MultiHeadAttention`](https://flax.readthedocs.io/en/latest/api_reference/flax.linen/_autosummary/flax.linen.MultiHeadAttention.html) alias.
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- Added kwargs support for `nn.jit`.
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- Deprecated `normalize` activation function, in favor of `standardize`.
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- Added `GeGLU` activation function.
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- Added `Enum` support for `tabulate` function.
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- Added simple argument-only lifted `nn.grad` function.
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0.7.5
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README.md

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author = {Jonathan Heek and Anselm Levskaya and Avital Oliver and Marvin Ritter and Bertrand Rondepierre and Andreas Steiner and Marc van {Z}ee},
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title = {{F}lax: A neural network library and ecosystem for {JAX}},
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url = {http://github.com/google/flax},
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version = {0.7.5},
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version = {0.8.0},
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year = {2023},
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}
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```

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