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Checking the readme of https://github.com/hedongyan/awesome-causality-identification, it looks like it has implemented a few algorithms and data structures, but it does not appear to be packaged. Y0's goal is to provide a framework for implementing many algorithms and data structures (and seems to cover everything there) as well as be installable. Please take a look at our README, docs, and preprint on arXiv for more details on what's available |
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It seems that the authors did not notice the causal identification package ACI awesome-causality-identification, from the arxiv paper.
Was there any functional difference beween the ACI and y0?
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