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julia set notebook (#64)
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README.md

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| Low-Rank Approximation | Interactive image compression with low-rank SVD. | [![Open in molab](https://marimo.io/molab-shield.svg)](https://molab.marimo.io/github/marimo-team/gallery-examples/blob/main/notebooks/math/low_rank_approximation.py) |
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| Self-Attention | A concise mathematical derivation of self-attention as a soft lookup and as row-stochastic mixing. | [![Open in molab](https://marimo.io/molab-shield.svg)](https://molab.marimo.io/github/marimo-team/gallery-examples/blob/main/notebooks/math/self_attention.py/wasm) |
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| Multi-Head Attention | Block-matrix view of multi-head attention. | [![Open in molab](https://marimo.io/molab-shield.svg)](https://molab.marimo.io/github/marimo-team/gallery-examples/blob/main/notebooks/math/multihead_attention.py/wasm) |
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| Julia Sets via Lagrangian Descriptors | Reveal Julia-set fractals as singularities of a Lagrangian-descriptor field lifted onto the Riemann sphere, with an animatable path through the c-plane. | [![Open in molab](https://marimo.io/molab-shield.svg)](https://molab.marimo.io/github/marimo-team/gallery-examples/blob/main/notebooks/math/julia-lagrangian-descriptors.py) |
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## Custom UI elements with Anywidget
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notebooks/math/__marimo__/session/julia-lagrangian-descriptors.py.json

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