From 51ac630ef02a6653ffb48c0f6a91ea80c9923dcd Mon Sep 17 00:00:00 2001
From: Patrick Kidger <33688385+patrick-kidger@users.noreply.github.com>
Date: Sat, 20 Apr 2024 11:18:19 +0200
Subject: [PATCH] Updated ecosystem

---
 README.md     | 28 +++++++++++++++-------------
 docs/index.md | 32 ++++++++++++++++++++++++--------
 2 files changed, 39 insertions(+), 21 deletions(-)

diff --git a/README.md b/README.md
index ebcbda8..22b7627 100644
--- a/README.md
+++ b/README.md
@@ -39,32 +39,34 @@ The annotations provided by jaxtyping are compatible with runtime type-checking
 
 Available at [https://docs.kidger.site/jaxtyping](https://docs.kidger.site/jaxtyping).
 
-## Finally
+## See also: other libraries in the JAX ecosystem
 
-### See also: other libraries in the JAX ecosystem
+#### Always useful
 
-[Equinox](https://github.com/patrick-kidger/equinox): neural networks.
+[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/google/lineax): linear solvers.
+[Lineax](https://github.com/patrick-kidger/lineax): linear solvers.
 
 [BlackJAX](https://github.com/blackjax-devs/blackjax): probabilistic+Bayesian sampling.
 
-[Orbax](https://github.com/google/orbax): checkpointing (async/multi-host/multi-device).
-
-[sympy2jax](https://github.com/google/sympy2jax): SymPy<->JAX conversion; train symbolic expressions via gradient descent.
-
-[Eqxvision](https://github.com/paganpasta/eqxvision): computer vision models.
-
-[Levanter](https://github.com/stanford-crfm/levanter): scalable+reliable training of foundation models (e.g. LLMs).
+[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!)
 
-### Disclaimer
+#### Awesome JAX
 
-This is not an official Google product.
+[Awesome JAX](https://github.com/n2cholas/awesome-jax): a longer list of other JAX projects.## Finally
diff --git a/docs/index.md b/docs/index.md
index d7e59b8..1fea5ec 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -43,16 +43,32 @@ Have a read of the [Array annotations](./api/array.md) documentation on the left
 
 ## See also: other libraries in the JAX ecosystem
 
-[Equinox](https://github.com/patrick-kidger/equinox): neural networks.
+#### 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.
 
-[Diffrax](https://github.com/patrick-kidger/diffrax): numerical differential equation solvers.
-
-[Lineax](https://github.com/google/lineax): linear solvers and linear least squares.
-
-[Eqxvision](https://github.com/paganpasta/eqxvision): computer vision models.
-
-[sympy2jax](https://github.com/google/sympy2jax): SymPy<->JAX conversion; train symbolic expressions via gradient descent.
+[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