christinaheinze Goto Github PK
Name: Christina Heinze-Deml
Type: User
Bio: I am a Research Scientist at Apple Health AI. My research interests include causality, distributional robustness and deep representation learning.
Name: Christina Heinze-Deml
Type: User
Bio: I am a Research Scientist at Apple Health AI. My research interests include causality, distributional robustness and deep representation learning.
Code for 'backShift', an algorithm to estimate the connectivity matrix of a directed (possibly cyclic) graph with hidden variables.
Code used in the causality course (401-4632-15) at ETH Zurich.
A unified interface for the estimation of causal networks
TensorFlow implementation of 'Core', proposed in "Conditional Variance Penalties and Domain Shift Robustness".
Latent Linear Adjustment autoencoders: A novel method for estimating and simulating dynamic precipitation at high resolution
Seminar in Statistics: Learning Blackjack (seminar taught at ETH Zurich in spring 2016)
A library for distributed L2-penalised estimation problems, implemented in Scala&Spark.
Code for (variational) autoencoders, provided for the lecture Multivariate Statistics at ETH Zurich in spring 2017.
Code for a variety of nonlinear conditional independence tests and 'nonlinear Invariant Causal Prediction' to estimate the causal parents of a given target variable from data collected in different experimental or environmental conditions, extending 'Invariant Causal Prediction' from Peters, Buehlmann and Meinshausen (2016) to nonlinear settings.
Tensorflow implementation of 'Visual Feature Attribution using Wasserstein GANs'
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.