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Flax
Flax offers flexible tools for building neural networks with JAX, providing guides, tutorials, and documentation for AI researchers and developers.
Build neural networks with JAX using flexible tools
Flax is a platform designed for researchers and developers who want to build neural networks using JAX. The site offers comprehensive documentation, tutorials, and guides to help you leverage the full capabilities of JAX for machine learning projects.
Whether you're new to Flax or an experienced user, you'll find resources on everything from basic installation to advanced topics like model surgery and scaling across multiple devices. The documentation is organized to make it easy to get started, explore features, and dive deeper into neural network development.
With Flax, you can experiment, learn, and create flexible AI models efficiently. The platform supports both newcomers and experts, making it a valuable tool for anyone interested in machine learning with JAX.
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