31 skills found · Page 1 of 2
py-why / EconMLALICE (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 Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
mckinsey / CausalnexA Python library that helps data scientists to infer causation rather than observing correlation.
itamarst / EliotEliot: the logging system that tells you *why* it happened
wmayner / PyphiA toolbox for integrated information theory.
msuzen / LooperA resource list for causality in statistics, data science and physics
fesvhtr / CUVA[CVPR 2024] Official repository of the paper "Uncovering What, Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly"
Dulpy / ECVAOfficial repository of the paper "Exploring What Why and How: A Multifaceted Benchmark for Causation Understanding of Video Anomaly"
vangj / Py BbnInference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling
lopezpaz / Causation Learning TheoryCode for "Towards a learning theory of cause-effect inference" (ICML 2015).
oneoffcoder / Py PairPairwise association measures of statistical variable types
LeihuaYe / Causal Inference Using Quasi Experimental MethodsCausal Inference Using Quasi-Experimental Methods
Center-For-Complex-Systems-Science / CausationentropyImplementation of Causation Entropy from Clarkson Center for Complex Systems Science (C3S2)
andrewheiss / Closing Backdoors DagsUse regression, inverse probability weighting, and matching to close confounding backdoors and find causation in observational data
zecevic-matej / ESSAI 2023 CausalityEuropean Summer School on AI Course "Machines Climbing Pearl's Ladder of Causation"
IlyaGusev / HeadlineCauseA dataset of news headlines for detecting causalities
DickingAround / AIWorld6A simulation for causational studies of lifeforms
aamend / PathogenThe rooster crows immediately before sunrise, the rooster causes the sun to rise
nstepka / Causationhttps://causation.streamlit.app/
bevry / ErrlopAn extended Error class that envelops a parent error, such that the stack trace contains the causation
junwang4 / Correlation To Causation ExaggerationCode and data used in our COLING'2020 paper: Measuring Correlation-to-Causation Exaggeration in Press Releases
