made with marimo
Get inspired by this curated gallery, made with marimo: the open-source reactive Python notebook.
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Get inspired by this curated gallery, made with marimo: the open-source reactive Python notebook.
Share your molab notebook on socials and tag us for a chance to be featured: X Β· LinkedIn Β· Bluesky Β· Reddit

Interactive false-positive traps showing how feature attribution, probing, SAEs, and circuits 'find' structure in pure noise.

Why diffusion models don't need noise conditioning, derived in closed form on a toy circles dataset.

A paper explainer for 'Diverse Task Experts Are Dense Around Pretrained Weights' with interactive loss landscapes and a RandOpt implementation.

Interactive simulation of federated learning with hospitals training local models and FedAvg aggregation.

Interactive Bayesian linear regression showing how posterior distributions evolve as data points are added.

Visualization of diffusion MRI tractography, with a widget to explore slices of a human brain by scrolling.