baoyinyuan Goto Github PK
Type: User
Type: User
Contains the code for reproducing the results and figures from the paper "Model-based Bayesian inference of disease outbreaks with invertible neural networks"
Config files for my GitHub profile.
A library for constructing specialized neural networks for Bayesian parameter inference (invertible networks) and Bayesian model selection (evidential networks).
Bayesian Data Analysis course at Aalto
Crystal graph convolutional neural networks for predicting material properties.
Contains legacy code and model examples for the paper "BayesFlow: Learning complex stochastic models with invertible neural networks"
Official implementation of "Why ODE models for COVID-19 fail: Heterogeneity shapes epidemic dynamics"
Dengue outbreak in Japan
Dengue faver
Stand alone markdowns with embedded shiny apps for various eco&epi models
An implementation of the Grammar of Graphics in R
this repository accompanies the book "Grokking Deep Learning"
Endo A. et al., "Introduction to the particle Markov-chain Monte Carlo." Epidemics, 2019.
Markdown Cheatsheet for Github Readme.md
Supporting materials for submitted study Akhmetzhanov AR, Lee H, Jung S-M, et al (2018) Real time forecasting of measles using generation-dependent mathematical model in Japan, 2018.
Reconstruction of Transmission Chains from Surveillance Data
Accelerated Discovery of Proton Conducting Perovskite Oxide by Capturing Physicochemical Fundamentals of Hydration
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Python - 100天从新手到大师
Python Data Science Handbook: full text in Jupyter Notebooks
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
Code and data for estimating reproductive numbers
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.