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docs/index.md
@@ -78,7 +78,7 @@ If this quick start has got you interested, then have a read of [All of Equinox]
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**Deep learning**
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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).
+[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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