Open-All-Scale-Causal-Engine/OpenASCE
OpenASCE (Open All-Scale Casual Engine) is a Python package for end-to-end large-scale causal learning. It provides causal discovery, causal effect estimation and attribution algorithms all in one package.
ArchivedNo commits in the last 6 months.
Stars
82
Forks
10
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 19, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Open-All-Scale-Causal-Engine/OpenASCE"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research...
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of...
cdt15/lingam
Python package for causal discovery based on LiNGAM.
andrewtavis/causeinfer
Machine learning based causal inference/uplift in Python