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Flax basics
MNIST tutorial
Why Flax NNX?
JAX/Flax Key Concepts
Basic Guides
Transformations
Filters
Randomness
Save and load checkpoints
Flax NNX vs JAX transformations
Advanced Guides
Scale up on multiple devices
Performance considerations
Use Flax NNX and Linen together
Model surgery
Migrating
NNX 0.10 to NNX 0.11
Flax Linen to Flax NNX
Haiku to Flax NNX
Examples
Example: Using pretrained Gemma for inference with Flax NNX
Core examples
Flax NNX glossary
The Flax philosophy
How to contribute
API Reference
flax.nnx
graph
object
module
nn
Activation functions
Attention
Dtypes
Initializers
Linear
LoRA
Normalization
Recurrent
Stochastic
rnglib
spmd
state
training
Metrics
Optimizer
transforms
variables
helpers
visualization
filterlib
bridge
flax.core.frozen_dict package
flax.struct package
flax.training package
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