Jupyter Notebook Causality

Open-source Jupyter Notebook projects categorized as Causality
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Topics: Machine Learning Economics Econometrics causal-inference treatment-effects
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Top 3 Jupyter Notebook Causality Projects

  • 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

  • causalML

    The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML (by altdeep)

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • causalai

    Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Jupyter Notebook Causality related posts

Index

What are some of the best open-source Causality projects in Jupyter Notebook? This list will help you:

Project Stars
1 EconML 3,550
2 causalML 698
3 causalai 226

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