vsyrgkanis Goto Github PK
Type: User
Type: User
Prototype code for paper: Adversarial Generalized Method of Moments, Greg Lewis and Vasilis Syrgkanis
Adversarial estimation of Reisz representers
Code accompanying paper "Information Asymmetries in Common Value Auctions with Discrete Signals"
AutoDML for Covariate Shifts
Fork this template to set up a new class landing page and build a syllabus for your class.
Python code for Omitted Variable Bias in Causal Machine Learning
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.
EpiGEN: an epistasis simulation pipeline
A modern, highly customizable, responsive Jekyll template for course websites.
EconML/CausalML KDD 2021 Tutorial
Peptide-MHC I binding affinity prediction
Omitted variable bias in machine learned causal models
Experiments for the paper: Orthogonal Statistical Learning
Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhukov, Nekipelov, Semenova, Syrgkanis, 2018
Code accompanying paper on "Semi-Parametric Effecient Policy Learning with Continuous Actions", NeurIPS 2019
This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.
A game theoretic approach to explain the output of any machine learning model.
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.