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Reactive Python, compiled to WASM

Marimo

25notebooks · Pyodide, WASM

Interactive reactive-Python notebooks — GPU compute, live widgets, WASM in your browser. Each demo is a full marimo kernel exported to a standalone WASM app: no server, no build step, edit a cell and the whole dataflow graph re-runs downstream.

Monte CarloOptionsGPUPortfolio TheoryOptimization3DParametricGenerative ArtGaussiansSketchingReactivePDEReaction-DiffusionSimulationBinary SearchTeachingWhiteboardMulti-Armed BanditDecision TheoryInteractiveReinforcement LearningComparisonRandom WalkMazeTSPSignal ProcessingAnimationStatisticsLLM RoutingBenchmarkingLLM EvaluationFinetuningLong ContextLLM CostTest-Time TrainingReasoningDistillationDecodingEconomicsInterpretabilityRoleplayConstrained DecodingBezierCurvesReactive WidgetsDataflowmarimo

Finance/GPU

2 demos

Generative

3 demos

Algorithms

6 demos

Reactive

5 demos

Research

9 demos
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RouterArena Score Simulation

How a single composite benchmark score can hide capability gaps — simulate aggregate vs per-difficulty-band scoring on an LLM-routing benchmark.

LLM RoutingBenchmarking
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PPL-Diff: When Finetuned Models Overgeneralize

Perplexity-difference detection between finetuned and reference models, simulated live — why the metric is simple but noisy.

LLM EvaluationFinetuning
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ContextForge: Context Budget vs Full Replay

Slider-driven comparison of naive full-context replay against a fixed context-recycling budget — accuracy and cumulative token cost over a long conversation.

Long ContextLLM Cost
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Beyond Perplexity: Behavioral Memory in TTT

Does test-time-training's perplexity gain reflect genuine behavioral memory? Probe the claim with a support-length slider.

Test-Time TrainingLLM Evaluation
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Kimi K1.5 — Long Context as Search Space

The reasoning-token budget trade-off behind Kimi K1.5's long2short distillation — optimal context budget vs answer quality, simulated.

ReasoningDistillation
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Best-of-N + Verifier-Guided Decoding

Expected total generation cost per successful sample under verifier-guided backtracking versus plain best-of-N sampling.

DecodingLLM Cost
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Deterministic vs Learned Router Economics

A rule-based deterministic router against a learned router across synthetic workloads — local vs hosted cost trade-offs, visualized.

LLM RoutingEconomics
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Roleplaying Persona Belief Probes

An intervention spectrum for probing whether roleplaying LLM personas hold genuine internal beliefs or surface mimicry.

InterpretabilityRoleplay
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AdapTrack: Constrained Decoding Without Distortion

How naive grammar constraints distort model intent during constrained decoding — and how adaptive tracking avoids it.

Constrained DecodingInterpretability