Pinned Repositories
action-recognition-visual-attention
Action recognition using soft attention based deep recurrent neural networks
dotfiles
ec2-masterclass-sampleapp
Master EC2 concepts using this companion application
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.
interpret-community
The Interpret Community extends Interpret repo with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
IS451_2019
MKGT584
Multimodal-Emotion-Recognition
A real time Multimodal Emotion Recognition web app for text, sound and video inputs
sampleproject
A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"
zhouzj89's Repositories
zhouzj89/action-recognition-visual-attention
Action recognition using soft attention based deep recurrent neural networks
zhouzj89/dotfiles
zhouzj89/ec2-masterclass-sampleapp
Master EC2 concepts using this companion application
zhouzj89/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.
zhouzj89/interpret-community
The Interpret Community extends Interpret repo with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
zhouzj89/IS451_2019
zhouzj89/MKGT584
zhouzj89/Multimodal-Emotion-Recognition
A real time Multimodal Emotion Recognition web app for text, sound and video inputs
zhouzj89/sampleproject
A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"