karlobermeyer Goto Github PK
Name: Karl J. Obermeyer
Type: User
Bio: Applied Mathematician | Software Engineer
Location: Cyberspace
Name: Karl J. Obermeyer
Type: User
Bio: Applied Mathematician | Software Engineer
Location: Cyberspace
A curated list of causal inference libraries, resources, and applications.
This repo contains a list of the 10,000 most common English words in order of frequency, as determined by n-gram frequency analysis of the Google's Trillion Word Corpus.
Using PyTorch+Lightning and Cityscapes data to study the effects of sparse labels on semantic image segmentation.
A Python library for recursive Bayesian filtering.
The course text for MIT 6.832 (and 6.832x on edX)
C++ Library for Planar Visibility Computations
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.