Open Source
Tools and notebooks for causal inference, A/B testing, and experimentation - built for practitioners.
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Agent skill for beautiful, verifiable architecture, workflow, sequence, data-flow, and lifecycle diagrams—self-contained HTML with motion and crisp export.
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Textbook on reinforcement learning from human feedback
MDE calculator for AB testing projects to calculate your sample size properly.
100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
Análisis de pricing con inferencia causal usando Synthetic Control para estimar el impacto de cambios de precio y construir contrafactuales a nivel de mercado.
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Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
An agentic skills framework & software development methodology that works.
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Machine learning research code for causal perception: comparing competing structural causal models (SCMs) via interventional and counterfactual distributions, applied to fair credit decisions. Open source by Santander AI Lab.