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  • ๐Ÿš€ Getting started
  • ๐Ÿ–ผ๏ธ Example gallery
    • Examples
      • Adversarial training
      • ResNet on CIFAR10 with Flax NNX and Optax.
      • Simple NN with Flax.
      • Freezing Parameters in Optax
      • Gradient Accumulation
      • Summary
      • L-BFGS
      • Linear assignment problem
      • Lookahead Optimizer on MNIST
      • Meta-Learning
      • MLP MNIST
      • Character-level Transformer on Tiny Shakespeare
      • Optimistic Gradient Descent in a Bilinear Min-Max Problem
      • Perturbed optimizers
    • Contrib Examples
      • Differentially private convolutional neural network on MNIST.
      • Using the Muon Optimizer in Optax
      • Reduce on Plateau Learning Rate Scheduler
      • Recreate AdeMAMix Rosenbrock Plot from Paper
      • Sharpness-Aware Minimization (SAM)
  • ๐Ÿ› ๏ธ Development

๐Ÿ“– Reference

  • Assignment problem
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  • Utilities
  • Microbatching
  • ๐Ÿ”ง Contrib
  • ๐Ÿงช Experimental
  • .md

Contrib Examples

Contrib Examples#

Examples that make use of the optax.contrib module.

  • Differentially private convolutional neural network on MNIST.
  • Using the Muon Optimizer in Optax
  • Reduce on Plateau Learning Rate Scheduler
  • Recreate AdeMAMix Rosenbrock Plot from Paper
  • Sharpness-Aware Minimization (SAM)

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Perturbed optimizers

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Differentially private convolutional neural network on MNIST.

By Optax Contributors

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