shlguagua Goto Github PK

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shlguagua's Projects

ai_law_judger

judicial/trial engine with knowledge graph

awesome-geospatial

Long list of geospatial tools and resources

bnlearn

Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

busunbunchr

Working code for Insight Data Science product

causalml

Uplift modeling and causal inference with machine learning algorithms

crnn

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

deeplearning

Translation of papers in Deep Learning Research

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 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.