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Top 23 causal-inference Open-Source Projects
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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.
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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
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pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
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SaaSHub
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causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
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causal-learn
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
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tfcausalimpact
Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
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auton-survival
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
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trimmed_match
This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.
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causalglm
Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
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SaaSHub
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I'm a fan of the Do Why library out of Microsoft. Even as a novice in the field of causal modeling it can get you up and running by estimating the causal graph based on your data. https://github.com/py-why/dowhy
Project mention: Why the world needs computational social science | news.ycombinator.com | 2023-10-02https://github.com/rguo12/awesome-causality-algorithms
"The limits of graphical causal discovery" (2021)
Project mention: CausalPy: A Python package for causal inference in quasi-experimental settings | news.ycombinator.com | 2023-11-07
i found this library https://github.com/WillianFuks/tfcausalimpact which seems to be a python port of the R library
I am currently working on reproducing the deepscm paper and finding it hard. Anyone worked before on the paper who can guide me - Link
Project mention: A resource list for causality in statistics, data science and physics | news.ycombinator.com | 2023-09-02
The worked example 'Prison construction and Black male incarceration' from the last chapter of 'Causal Inference: The Mixtape' by Scott Cunningham, (notebook here).
causal-inference related posts
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Coz: Causal Profiling
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Learning Universal Predictors
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Coz: Finding code that counts with causal profiling
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CausalPy: A Python package for causal inference in quasi-experimental settings
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Causality for Machine Learning
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Elon Musk proposes that a new version of quantum mechanics/cosmology, will be derived, possibly by using his version of artificial intelligence "xAI".
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Python package for the synthetic control method
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A note from our sponsor - InfluxDB
www.influxdata.com | 10 May 2024
Index
What are some of the best open-source causal-inference projects? This list will help you:
Project | Stars | |
---|---|---|
1 | dowhy | 6,757 |
2 | causalml | 4,770 |
3 | Rath | 3,987 |
4 | coz | 3,932 |
5 | EconML | 3,557 |
6 | awesome-causality-algorithms | 2,796 |
7 | pgmpy | 2,624 |
8 | causalnex | 2,147 |
9 | causal-learn | 988 |
10 | CausalPy | 773 |
11 | tfcausalimpact | 576 |
12 | rethinking-numpyro | 427 |
13 | causallift | 333 |
14 | auton-survival | 296 |
15 | deepscm | 258 |
16 | looper | 236 |
17 | causaldag | 133 |
18 | dodiscover | 59 |
19 | trimmed_match | 55 |
20 | lmtp | 53 |
21 | pysyncon | 29 |
22 | jupyterlab-dagitty | 17 |
23 | causalglm | 17 |
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