Updated ecosystem again

patrick-kidger · Apr 20, 2024 · 0d83ee7 · 0d83ee7
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diff --git a/README.md b/README.md
@@ -41,32 +41,21 @@ Available at [https://docs.kidger.site/jaxtyping](https://docs.kidger.site/jaxty
 
 ## See also: other libraries in the JAX ecosystem
 
-#### Always useful
-
-[Equinox](https://github.com/patrick-kidger/equinox): neural networks and everything not already in core JAX!
-
-#### Deep learning
-
-[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).
-
-#### Scientific computing
-
-[Diffrax](https://github.com/patrick-kidger/diffrax): numerical differential equation solvers.
-
-[Optimistix](https://github.com/patrick-kidger/optimistix): root finding, minimisation, fixed points, and least squares.
-
-[Lineax](https://github.com/patrick-kidger/lineax): linear solvers.
-
-[BlackJAX](https://github.com/blackjax-devs/blackjax): probabilistic+Bayesian sampling.
-
-[sympy2jax](https://github.com/patrick-kidger/sympy2jax): SymPy<->JAX conversion; train symbolic expressions via gradient descent.
-
-[PySR](https://github.com/milesCranmer/PySR): symbolic regression. (Non-JAX honourable mention!)
-
-#### Awesome JAX
-
-[Awesome JAX](https://github.com/n2cholas/awesome-jax): a longer list of other JAX projects.## Finally
+**Always useful**  
+[Equinox](https://github.com/patrick-kidger/equinox): neural networks and everything not already in core JAX!  
+
+**Deep learning**  
+[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).  
+
+**Scientific computing**  
+[Diffrax](https://github.com/patrick-kidger/diffrax): numerical differential equation solvers.  
+[Optimistix](https://github.com/patrick-kidger/optimistix): root finding, minimisation, fixed points, and least squares.  
+[Lineax](https://github.com/patrick-kidger/lineax): linear solvers.  
+[BlackJAX](https://github.com/blackjax-devs/blackjax): probabilistic+Bayesian sampling.  
+[sympy2jax](https://github.com/patrick-kidger/sympy2jax): SymPy<->JAX conversion; train symbolic expressions via gradient descent.  
+[PySR](https://github.com/milesCranmer/PySR): symbolic regression. (Non-JAX honourable mention!)  
+
+**Awesome JAX**  
+[Awesome JAX](https://github.com/n2cholas/awesome-jax): a longer list of other JAX projects.  
diff --git a/docs/index.md b/docs/index.md
@@ -43,32 +43,21 @@ Have a read of the [Array annotations](./api/array.md) documentation on the left
 
 ## See also: other libraries in the JAX ecosystem
 
-#### Always useful
-
-[Equinox](https://github.com/patrick-kidger/equinox): neural networks and everything not already in core JAX!
-
-#### Deep learning
-
-[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).
-
-#### Scientific computing
-
-[Diffrax](https://github.com/patrick-kidger/diffrax): numerical differential equation solvers.
-
-[Optimistix](https://github.com/patrick-kidger/optimistix): root finding, minimisation, fixed points, and least squares.
-
-[Lineax](https://github.com/patrick-kidger/lineax): linear solvers.
-
-[BlackJAX](https://github.com/blackjax-devs/blackjax): probabilistic+Bayesian sampling.
-
-[sympy2jax](https://github.com/patrick-kidger/sympy2jax): SymPy<->JAX conversion; train symbolic expressions via gradient descent.
-
-[PySR](https://github.com/milesCranmer/PySR): symbolic regression. (Non-JAX honourable mention!)
-
-#### Awesome JAX
-
-[Awesome JAX](https://github.com/n2cholas/awesome-jax): a longer list of other JAX projects.## Finally## See also: other libraries in the JAX ecosystem
+**Always useful**  
+[Equinox](https://github.com/patrick-kidger/equinox): neural networks and everything not already in core JAX!  
+
+**Deep learning**  
+[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).  
+
+**Scientific computing**  
+[Diffrax](https://github.com/patrick-kidger/diffrax): numerical differential equation solvers.  
+[Optimistix](https://github.com/patrick-kidger/optimistix): root finding, minimisation, fixed points, and least squares.  
+[Lineax](https://github.com/patrick-kidger/lineax): linear solvers.  
+[BlackJAX](https://github.com/blackjax-devs/blackjax): probabilistic+Bayesian sampling.  
+[sympy2jax](https://github.com/patrick-kidger/sympy2jax): SymPy<->JAX conversion; train symbolic expressions via gradient descent.  
+[PySR](https://github.com/milesCranmer/PySR): symbolic regression. (Non-JAX honourable mention!)  
+
+**Awesome JAX**  
+[Awesome JAX](https://github.com/n2cholas/awesome-jax): a longer list of other JAX projects.