Pinned Repositories
AGBsvdquartets
academic-kickstart
academic-kickstart-1
Easily create a beautiful website using Academic and Hugo
cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
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 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.
MagicMirror
Magic Mirror Project
SVDquartets
Tictactoe
Simplistic Tic-Tac-Toe and an AI for it
uiuc_math_sankey
Sankey diagram showing math professor research interests at the University of Illinois at Urbana-Champaign.
j-chou's Repositories
j-chou/SVDquartets
j-chou/Tictactoe
Simplistic Tic-Tac-Toe and an AI for it
j-chou/academic-kickstart
j-chou/academic-kickstart-1
Easily create a beautiful website using Academic and Hugo
j-chou/cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
j-chou/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
j-chou/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 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.
j-chou/MagicMirror
Magic Mirror Project
j-chou/uiuc_math_sankey
Sankey diagram showing math professor research interests at the University of Illinois at Urbana-Champaign.