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Top 3 Jupyter Notebook causal-inference Projects
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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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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.
Project mention: Machine learning for a mom with little time? | /r/learnmachinelearning | 2023-05-08https://github.com/fehiepsi/rethinking-numpyro https://xcelab.net/rm/statistical-rethinking/
I am currently working on reproducing the deepscm paper and finding it hard. Anyone worked before on the paper who can guide me - Link
Jupyter Notebook causal-inference related posts
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Causality for Machine Learning
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[D] What approach to decide which class is most optimal for recovery?
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Getting treatment effects from a random forest
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EconML: A Python Package for ML-Based Heterogeneous Treatment Effects Estimation
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[q] before/after test
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[N] Spotify Confidence - open source for analyzing a/b test data
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A note from our sponsor - SaaSHub
www.saashub.com | 1 May 2024
Index
What are some of the best open-source causal-inference projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | EconML | 3,550 |
2 | rethinking-numpyro | 427 |
3 | deepscm | 258 |
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