Update awesome list with more things

Author: patrick-kidger

docs/awesome-list.md

@@ -0,0 +1,73 @@
+# Awesome List
+
+A list of community projects that use Equinox and its ecosystem! Feel free to write a PR to add your own projects so that the community may benefit from as many examples as possible.
+
+## Models
+
+**Mistral 7B**: [GitHub](https://github.com/AakashKumarNain/mistral_jax)  
+Implementation of the Mistral 7B model.
+
+**PaLM**: [GitHub](https://github.com/lucidrains/PaLM-jax)  
+Implementation of the Pathways Language Model (PaLM).
+
+**HiFiGAN**: [GitHub](https://github.com/TugdualKerjan/hifigan-jax)  
+HiFiGAN vocoder using two discriminators to map mel-spectrograms to audio.
+
+**nanoGPT**: [GitHub](https://github.com/TugdualKerjan/nanoEQXGPT)  
+Port of nanoGPT, a minimalist implementation of a Generative Pre-trained Transformer.
+
+**VQVAE**: [GitHub](https://github.com/TugdualKerjan/audio-vae-jax)  
+Implementation of a VQ-VAE (Vector Quantized Variational Autoencoder) for audio generation.
+
+**ESM2quinox**: [GitHub](https://github.com/patrick-kidger/esm2quinox)  
+The ESM2 protein language model.
+
+## Libraries
+
+**Levanter**: [GitHub](https://github.com/stanford-crfm/levanter)  
+Deep learning library for training large language models.
+
+**Eqxvision**: [GitHub](https://github.com/paganpasta/eqxvision)  
+Computer vision library built on Equinox, inspired by torchvision.
+
+**Haliax**: [GitHub](https://github.com/stanford-crfm/haliax)  
+Distributed multi-dimensional arrays, designed for large-scale machine learning.
+
+**Diffrax**: [GitHub](https://github.com/patrick-kidger/diffrax)  
+Numerical differential equation solvers.
+
+**Optimistix**: [GitHub](https://github.com/patrick-kidger/optimistix)  
+Nonlinear optimisation: root finding, fixed point, minimisation, least squares.
+
+**Lineax**: [GitHub](https://github.com/patrick-kidger/lineax)  
+Linear solvers, linear operators, and linear least squares.
+
+**Quax**: [GitHub](https://github.com/patrick-kidger/quax)  
+Multiple dispatch (over abstract array types).
+
+**sympy2jax**: [GitHub](https://github.com/patrick-kidger/sympy2jax)  
+Converts sympy expressions into JAX expressions.
+
+**quadax**: [GitHub](https://github.com/f0uriest/quadax)  
+Numerical quadrature.
+
+**traceax**: [GitHub](https://github.com/mancusolab/traceax)  
+Stochastic trace estimation.
+
+**Dynamiqs:** [GitHub](https://github.com/dynamiqs/dynamiqs)  
+High-performance quantum systems simulation with JAX.
+
+**unxt**: [GitHub](https://github.com/GalacticDynamics/unxt)  
+Unitful quantities.
+
+**coordinax**: [GitHub](https://github.com/GalacticDynamics/coordinax)  
+Coordinates (like `astropy.coordinates`).
+
+**galax**: [GitHub](https://github.com/GalacticDynamics/galax)  
+Galactic and gravitational dynamics.
+
+**FlowJAX**: [GitHub](https://github.com/danielward27/flowjax)  
+Normalizing flows and probabilistic machine learning.
+
+**statedict2pytree**: [GitHub](https://github.com/Artur-Galstyan/statedict2pytree)  
+Converts PyTorch `state_dict`s into Equinox pytrees.

examples/awesome-list.md

@@ -103,18 +103,18 @@ nav:
         - Introductory:
             - CNN on MNIST: 'examples/mnist.ipynb'
             - Train RNN: 'examples/train_rnn.ipynb'
+        - Advanced:
+            - Generative score-based diffusion: 'examples/score_based_diffusion.ipynb'
+            - BERT language model: 'examples/bert.ipynb'
+            - U-Net implementation: 'examples/unet.ipynb'
+            - Vision transformer: 'examples/vision_transformer.ipynb'
+            - Image GAN: 'examples/deep_convolutional_gan.ipynb'
         - Features:
             - Freezing parameters: 'examples/frozen_layer.ipynb'
             - Compatibility with init-apply libraries: 'examples/init_apply.ipynb'
             - Stateful operations (e.g. BatchNorm): 'examples/stateful.ipynb'
             - Autoparallelism (e.g. multi-GPU): 'examples/parallelism.ipynb'
             - Serialisation (with hyperparameters): 'examples/serialisation.ipynb'
-        - Advanced (Notebooks):
-            - Generative score-based diffusion: 'examples/score_based_diffusion.ipynb'
-            - BERT language model: 'examples/bert.ipynb'
-            - U-Net implementation: 'examples/unet.ipynb'
-            - Vision transformer: 'examples/vision_transformer.ipynb'
-            - Image GAN: 'examples/deep_convolutional_gan.ipynb'
         - Awesome list: 'awesome-list.md'
     - Basic API:
         - Modules: