.. _notebook_gallery:
Notebook gallery
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Deep learning
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.. figure:: /notebooks/deep_learning/thumbnails/resnet_flax.png
:alt: Resnet example with Flax and JAXopt.
:doc:`/notebooks/deep_learning/resnet_flax`
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.. figure:: /notebooks/deep_learning/thumbnails/adversarial_training.png
:alt: Adversarial Training.
:doc:`/notebooks/deep_learning/adversarial_training`
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Implicit Differentiation
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.. figure:: /notebooks/implicit_diff/thumbnails/plot_dataset_distillation.png
:alt: Dataset distillation example with JAXopt.
:doc:`/notebooks/implicit_diff/dataset_distillation`
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.. figure:: /notebooks/implicit_diff/thumbnails/maml.png
:alt: Few-shot Adaptation with Model Agnostic Meta-Learning (MAML)
:doc:`/notebooks/implicit_diff/maml`
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Distributed Optimization
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.. figure:: /notebooks/distributed/thumbnails/plot_custom_loop_pjit_example.png
:alt: `jax.experimental.pjit` example using JAXopt.
:doc:`/notebooks/distributed/custom_loop_pjit_example`
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.. figure:: /notebooks/distributed/thumbnails/plot_custom_loop_pmap_example.png
:alt: `jax.pmap` example using JAXopt.
:doc:`/notebooks/distributed/custom_loop_pmap_example`
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Perturbed optimizers
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.. figure:: /notebooks/perturbed_optimizers/thumbnails/perturbations.png
:alt: Perturbed optimizers with JAXopt.
:doc:`/notebooks/perturbed_optimizers/perturbed_optimizers`
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