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Collected opinions and advice for academic programs focused on data science skills.
A curated list of awesome Machine Learning frameworks, libraries and software.
An awesome list of (large-scale) public datasets on the Internet. (On-going collection)
A curated list of awesome R packages, frameworks and software.
Bayesian Data Analysis demos for R
The biggest collection of R books (and maybe later some other resources too)
Source code examples from blog.knatten.org
R/broman: A package with Karl Broman's personal R code
Manuscript of "broom: An R Package for Converting Statistical Analysis Objects Into Tidy Data Frames"
A repository of my Coursera latex code and notes
Must-read papers and resources related to causal inference and machine (deep) learning
Visualization of bicycle collisions in Montreal
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
An ongoing repository of data on coronavirus cases and deaths in the U.S.
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
The lecture slides for Coursera's Data Analysis class
Data Science Workshop 2019
A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.
Tools to make an R developer's life easier
Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)
Homework Answers
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Code to create benchmarks for Kaggle's Facebook Recruiting Competition
Building a scalable foundation for deep learning
Take Homes from the Unconference on the Future of Statistics #futureofstats
Generative Adversial Network Example
An implementation of the gap statistic algorithm to compute the number of clusters in a set of numerical data.
My lecture on ggplot at Cal (spring 2013)
Quick introduction to ggplot2 (no knowledge of R assumed)
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.