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Skills IA Développement

Découvrez les skills Développement, comparez leurs dépôts et consultez leurs instructions.

Catégories: Développement

32,809–32,832 sur 81,978

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GitHub

microcalibrate

PolicyEngine

Survey weight calibration to match population targets - used in policyengine-us-data for enhanced microdata

GitHub

policyengine-design

PolicyEngine

PolicyEngine visual identity - colors, fonts, logos, and branding for web apps, calculators, charts, and research

GitHub

policyengine-district-analysis

PolicyEngine

Analyze policy impacts for congressional districts and representatives' constituents. Use when the user mentions a specific district (NY-17, CA-52), a representative's name, or asks about geographic policy impa...

GitHub

policyengine-writing

PolicyEngine

PolicyEngine writing style for blog posts, documentation, PR descriptions, and research reports - emphasizing active voice, quantitative precision, and neutral tone

GitHub

policyengine-us

PolicyEngine

PolicyEngine-US federal and state tax/benefit rules - variables, parameters, household situations. For national/state microsimulation see policyengine-microsimulation; for district-level see policyengine-distri...

GitHub

microdf

PolicyEngine

Weighted pandas DataFrames for survey microdata analysis - inequality, poverty, and distributional calculations

GitHub

policyengine-uk

PolicyEngine

PolicyEngine-UK tax and benefit microsimulation patterns, situation creation, and common workflows

GitHub

policyengine-microsimulation

PolicyEngine

ALWAYS USE THIS SKILL for PolicyEngine microsimulation, population-level analysis, winners/losers calculations. Triggers: "microsimulation", "share who would lose/gain", "policy impact", "national average", wei...

GitHub

microimpute

PolicyEngine

ML-based variable imputation for survey data - used in policyengine-us-data to fill missing values

GitHub

l0

PolicyEngine

L0 regularization for neural network sparsification and intelligent sampling - used in survey calibration

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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