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py-why/dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions.

8.0K
Active
Python
Causal Inference
Databases
Python3
#causal-inference#causal-models#bayesian-networks

uber/causalml

Causal inference and uplift modeling library for machine learning applications.

5.8K
Active
Python
Causal Inference
Uplift Modeling
Python
#causal-inference#uplift-modeling#machine-learning

py-why/EconML

A toolkit for automated causal inference and econometric analysis, combining machine learning and econometrics.

4.5K
Active
Jupyter Notebook
ML Ops
Caching
Python
#causal-inference#econometrics#machine-learning

plasma-umass/coz

Coz is a causal profiler for C/C++ that helps developers optimize performance by identifying bottlenecks.

4.5K
Active
C
#causal-profiling#performance-analysis#performance-optimization

matheusfacure/python-causality-handbook

A light-hearted yet rigorous approach to learning about impact estimation and causality in Python.

3.3K
Stable
Jupyter Notebook
Causal Inference
Data Science
Python
#causal-inference#econometrics#data-science

rguo12/awesome-causality-algorithms

An index of algorithms for learning causality with data, useful for vibe coders working on AI-powered applications.

3.2K
Archived
ML Ops
API Frameworks
#causality#causal-inference#recommender-system

pgmpy/pgmpy

Python library for Causal AI and Bayesian networks

3.2K
Active
Python
React
#causal-inference#bayesian-networks#probabilistic-inference

mckinsey/causalnex

A Python library to help data scientists infer causation from data rather than just observing correlation.

2.4K
Archived
Python
Machine Learning Ops
Caching
Python
#causal-inference#bayesian-networks#data-science

py-why/causal-learn

Causal Discovery in Python, including independence tests and score functions for causal inference.

1.6K
Stable
Python
Causal Inference
API Frameworks
Python
#causal-discovery#causal-inference#statistics

jrfiedler/causal_inference_python_code

Python code for causal inference, a book by Miguel Hernán and James Robins.

1.3K
Archived
Jupyter Notebook
Data Science
Tutorials & Courses
Jupyter Notebook
#causal-inference#data-science#causality

FenTechSolutions/CausalDiscoveryToolbox

A Python package for causal inference in graphs and pairwise settings, with tools for graph structure recovery and dependencies.

1.2K
Stable
Python
Causal Inference
Python
#causal-discovery#causal-models#graph-structure-recovery

pymc-labs/CausalPy

A Python package for causal inference in quasi-experimental settings

1.1K
Active
Python
Causal Inference
#causal-inference#quasi-experimental#pymc

huawei-noah/trustworthyAI

Open-source projects related to trustworthy AI, including causal discovery, causal inference, and causality.

1.1K
Stable
Python
Causal Inference
Causal Discovery
Python
#causality#causal-inference#causal-discovery

matteocourthoud/awesome-causal-inference

A curated list of causal inference libraries, resources, and applications for developers.

1.1K
Stable
LLM Frameworks
CLI Tools
#causal-inference#machine-learning#data-science

grf-labs/grf

A powerful C++ library for building causal models and performing advanced statistical analysis.

1.1K
Stable
C++
ML Ops
API Frameworks
#causal-inference#econometrics#random-forest

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