Evolving Neural Networks in JAX by Robert Tjarko Lange
Explores how JAX can power the next generation of scalable neuroevolution algorithms.
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- 2026-10-10
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Getting started with JAX (MLPs, CNNs & RNNs) by Robert Lange roberttlange.github.io
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Introduction to both JAX and Meta-Learning.
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Exploring hyperparameter meta-loss landscapes with JAX by Luke Metz lukemetz.com
Demonstrates how to use JAX to perform inner-loss optimization with SGD and Momentum, outer-loss optimization with gradients, and outer-loss optimization using evolutionary strategies.
JAX › Tutorials and Blog Posts: “Explores how JAX can power the next generation of scalable neuroevolution algorithms.”