Open Source
Tools and notebooks for causal inference, A/B testing, and experimentation - built for practitioners.
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Análisis de pricing con inferencia causal usando Synthetic Control para estimar el impacto de cambios de precio y construir contrafactuales a nivel de mercado.
Causal Inference: a brief introduction | Discover how causal inference separates correlation from causation to drive better decisions. This fast-paced introduction covers key concepts—treatments, counterfactuals, DAGs, confounding, tests vs. observational data and tools like A/B tests and a real case with DiD and Synthetic Control Methods (SCM).
Simple Bayesian AB Test Calculator
MDE calculator for AB testing projects to calculate your sample size properly.
Charla en 2026 en el evento Trafffic.pro sobre ITSAgent, un producto interno basado en un sistema multi-agente secuencia que realiza un análisis ITSA (Interrupted Time Series Analysis)
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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.
An agentic skills framework & software development methodology that works.
100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
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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