Tutorials

Tutorials are learning-oriented: they guide you through complete, working examples from scratch, teaching the key concepts by doing.

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Available Tutorials

Getting Started

Install the library, create your first DeepSetsInvariant model, run a forward pass, and verify permutation invariance with a concrete numerical check. Start here if you've never used Deep Sets before.

Training a Model

Build a complete end-to-end training loop on the sum-of-digits task from the paper's experiments. Covers data generation, model construction, training, evaluation, and generalization to larger sets.

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Where to go next

Once you've completed the tutorials, head to the How-to Guides for recipes covering specific tasks, or the Reference for detailed API documentation.