yuhsienliu Goto Github PK
Name: Yu-Hsien Gloria Liu
Type: User
Bio: Data Scientist working on Causal Machine Learning with the Generalized Random Forests.
Location: Ontario, Canada
Blog: yuhsienliu.github.io
Name: Yu-Hsien Gloria Liu
Type: User
Bio: Data Scientist working on Causal Machine Learning with the Generalized Random Forests.
Location: Ontario, Canada
Blog: yuhsienliu.github.io
Python library for calculating amortizations and generating amortization schedules
A curated list of awesome READMEs
Uplift modeling and causal inference with machine learning algorithms
Causal Effect Inference with Deep Latent-Variable Models
Design of Simulations using WGAN
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.
Generalized Random Forests
KNN_img_recognition
A simple LaTeX template for Technical Reports, arXiv preprints & 2-column Conference papers
Matplotlib 3.1 cheat sheet.
A modern curriculum vitae class for LaTeX
A Python sandbox for decision making in dynamics
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.