PyPI
pgmpy/pgmpy
Python Toolkit for Causal and Probabilistic Reasoning
MIT2026年8月13日 · 指标 2.10.0
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#causal-inference
公开记录中带有此标签的全部仓库——标签来自其 GitHub 主题或软件包注册表发布的关键词。健康度量遵循与记录其余部分相同的版本化方法论。
9 条记录
PyPI
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.
MIT2026年8月12日 · 指标 2.10.0
PyPI · npm
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.
MIT2026年9月5日 · 指标 2.10.0
PyPI
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.
自定义许可证2026年8月13日 · 指标 2.10.0
PyPI · crates.io
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.
MIT2026年7月17日 · 指标 2.10.0
PyPI
SepineTam/mcp-for-stata
A MCP server for Stata to integrate Stata into your agent.
AGPL-3.02026年7月30日 · 指标 2.10.0
Packagist
ai-university-aiu/causalontology
Causalontology - the world's first programming-language-neutral standard and shared commons for reified causation. AGI's Missing Link.
Apache-2.02026年7月20日 · 指标 2.10.0
Go
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.
Apache-2.02026年7月22日 · 指标 2.10.0
PyPI
declare-lab/reccon
This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
无许可证2026年7月15日 · 指标 2.10.0