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Add paramax
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danielward27 committed Jan 24, 2025
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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -69,6 +69,7 @@ If you found this library useful in academic research, please cite: [(arXiv link
[Optax](https://github.com/deepmind/optax): first-order gradient (SGD, Adam, ...) optimisers.
[Orbax](https://github.com/google/orbax): checkpointing (async/multi-host/multi-device).
[Levanter](https://github.com/stanford-crfm/levanter): scalable+reliable training of foundation models (e.g. LLMs).
[paramax](https://github.com/danielward27/paramax): parameterizations and constraints for PyTrees.

**Scientific computing**
[Optimistix](https://github.com/patrick-kidger/optimistix): root finding, minimisation, fixed points, and least squares.
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1 change: 1 addition & 0 deletions docs/index.md
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Expand Up @@ -57,6 +57,7 @@ Have a look at the [Getting Started](./usage/getting-started.md) page.
[Optax](https://github.com/deepmind/optax): first-order gradient (SGD, Adam, ...) optimisers.
[Orbax](https://github.com/google/orbax): checkpointing (async/multi-host/multi-device).
[Levanter](https://github.com/stanford-crfm/levanter): scalable+reliable training of foundation models (e.g. LLMs).
[paramax](https://github.com/danielward27/paramax): parameterizations and constraints for PyTrees.

**Scientific computing**
[Optimistix](https://github.com/patrick-kidger/optimistix): root finding, minimisation, fixed points, and least squares.
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