User guide

The guide introduces the mathematical objects and the MLX-specific execution model. The ordering is suitable for a first read; experienced e3nn users can jump directly to migration or performance.

• Installation
• Irreducible representations
• Tensor products
• Testing equivariance
• Migrating from e3nn/PyTorch
• Performance and automatic differentiation