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Add paramax
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README.md

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@@ -90,6 +90,7 @@ If you found this library to be useful in academic work, then please cite: ([arX
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[Optax](https://github.com/deepmind/optax): first-order gradient (SGD, Adam, ...) optimisers.
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[Orbax](https://github.com/google/orbax): checkpointing (async/multi-host/multi-device).
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[Levanter](https://github.com/stanford-crfm/levanter): scalable+reliable training of foundation models (e.g. LLMs).
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[paramax](https://github.com/danielward27/paramax): parameterizations and constraints for PyTrees.
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**Scientific computing**
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[Diffrax](https://github.com/patrick-kidger/diffrax): numerical differential equation solvers.

docs/index.md

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[Optax](https://github.com/deepmind/optax): first-order gradient (SGD, Adam, ...) optimisers.
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[Orbax](https://github.com/google/orbax): checkpointing (async/multi-host/multi-device).
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[Levanter](https://github.com/stanford-crfm/levanter): scalable+reliable training of foundation models (e.g. LLMs).
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[paramax](https://github.com/danielward27/paramax): parameterizations and constraints for PyTrees.
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**Scientific computing**
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[Diffrax](https://github.com/patrick-kidger/diffrax): numerical differential equation solvers.

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