Top 3 Jupyter Notebook causal-inference Projects

EconML

0 3,322 8.0 Jupyter Notebook

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
rethinking-numpyro

1 404 10.0 Jupyter Notebook

Statistical Rethinking (2nd ed.) with NumPyro

Project mention: Machine learning for a mom with little time? | /r/learnmachinelearning | 2023-05-08

https://github.com/fehiepsi/rethinking-numpyro https://xcelab.net/rm/statistical-rethinking/
InfluxDB

www.influxdata.com
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Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
deepscm

1 246 10.0 Jupyter Notebook

Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

Project mention: Reproducing paper deepscm | /r/CausalInference | 2023-06-21

I am currently working on reproducing the deepscm paper and finding it hard. Anyone worked before on the paper who can guide me - Link

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). The latest post mention was on 2023-06-21.