Causal
14 items across the graph — tagged with Causal.
From the graph · 14
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causa…
Uplift modeling and causal inference with machine learning algorithms
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to ec…
Next generation of automated data exploratory analysis and visualization platform.
Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting publis…
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling metho…
Python package for causal discovery based on LiNGAM.
A curated list of AI tools, libraries, and resources for economics research, teaching, and policy analysis. Maintained by the OpenEcon team.
StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result ob…
Accountable memory for AI agents — it forgets on purpose, says "I don't know" when unsure, and flags its own contradictions. Local-first · MCP · MIT.
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Agent skills that help you publish in the AER faster — identification-first empirics, AEA-compliant replication, Keith-Head intros, R&R rebuttals for AER / AER:…
Research platform for model training, evaluation, and experimentation across architectures, benchmarks, and recipes.
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