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#causal-inference

Todos los repositorios del registro público que llevan esta etiqueta, procedente de sus topics de GitHub o de las palabras clave que publican sus registros de paquetes. La salud se mide con la misma metodología versionada que el resto del registro.

9 registros
Con la etiqueta «causal-inference»Ordenado por índice de salud
PyPI
95Excepcionalíndice de salud
pgmpy/pgmpy
Python Toolkit for Causal and Probabilistic Reasoning
Python★ 331313 ago 2026
MIT13 ago 2026 · métricas 2.10.0
PyPI
93Excepcionalíndice de salud
py-why/dowhy
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 causal inference, combining causal graphical models and potential outcomes frameworks.
Python★ 826012 ago 2026
MIT12 ago 2026 · métricas 2.10.0
PyPI · npm
89Excelenteíndice de salud
cdeust/Cortex
Cross-platform persistent memory MCP for Codex, Gemini CLI, Claude Code, and other local MCP hosts. 36 cited neuroscience mechanisms, local-first SQLite/PostgreSQL, hybrid retrieval, decay-based consolidation, and reproducible benchmarks. Claude adds optional automatic lifecycle hooks.
Python★ 71↓ 2447/mes5 sept 2026
MIT5 sept 2026 · métricas 2.10.0
PyPI
89Excelenteíndice de salud
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Jupyter Notebook · Python★ 475213 ago 2026
Licencia propia13 ago 2026 · métricas 2.10.0
PyPI · crates.io
88Excelenteíndice de salud
igerber/diff-diff
Difference-in-Differences causal inference in Python. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies. sklearn-like API, validated against R.
Python★ 350↓ 16.8K/mes17 jul 2026
MIT17 jul 2026 · métricas 2.10.0
PyPI
84Excelenteíndice de salud
SepineTam/mcp-for-stata
A MCP server for Stata to integrate Stata into your agent.
Python★ 229↓ 20.4K/mes30 jul 2026
AGPL-3.030 jul 2026 · métricas 2.10.0
Packagist
59Moderadoíndice de salud
ai-university-aiu/causalontology
Causalontology - the world's first programming-language-neutral standard and shared commons for reified causation. AGI's Missing Link.
Python★ 0↓ 3/mes20 jul 2026
Apache-2.020 jul 2026 · métricas 2.10.0
Go
44Débilíndice de salud
jousudo/causa
Causal inference and causal discovery for Go: Granger causality, PC-stable and DirectLiNGAM structure learning in pure standard library - zero dependencies, CGO-free, deterministic.
Go★ 022 jul 2026
Apache-2.022 jul 2026 · métricas 2.10.0
PyPI
21En riesgoíndice de salud
declare-lab/reccon
This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
Python★ 19015 jul 2026
Sin licencia15 jul 2026 · métricas 2.10.0