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baoyinyuan's Projects

aiagainstcorona icon aiagainstcorona

Contains the code for reproducing the results and figures from the paper "Model-based Bayesian inference of disease outbreaks with invertible neural networks"

bayesflow icon bayesflow

A library for constructing specialized neural networks for Bayesian parameter inference (invertible networks) and Bayesian model selection (evidential networks).

cgcnn icon cgcnn

Crystal graph convolutional neural networks for predicting material properties.

cinn icon cinn

Contains legacy code and model examples for the paper "BayesFlow: Learning complex stochastic models with invertible neural networks"

covid19dispersion icon covid19dispersion

Official implementation of "Why ODE models for COVID-19 fail: Heterogeneity shapes epidemic dynamics"

ggplot2 icon ggplot2

An implementation of the Grammar of Graphics in R

intro-pmcmc icon intro-pmcmc

Endo A. et al., "Introduction to the particle Markov-chain Monte Carlo." Epidemics, 2019.

measlesjapan2018 icon measlesjapan2018

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.

o2geosocial icon o2geosocial

Reconstruction of Transmission Chains from Surveillance Data

predict-ch icon predict-ch

Accelerated Discovery of Proton Conducting Perovskite Oxide by Capturing Physicochemical Fundamentals of Hydration

probability_cheatsheet icon probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

pydata-book icon pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pytorchstepbystep icon pytorchstepbystep

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

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