Name: Pengfei Song
Type: User
Company: Xi'an Jiaotong University
Bio: Associate Professor, XI'an Jiaotong University. Interested in Partial Differential Equations, Deep Learning, AI for Science
Location: Xi'an, Shaanxi, China, 710049
Blog: https://song921012.github.io
Pengfei Song's Projects
Fields CQAM Thematic Program
Algencan 3.1.1 Wrapper for Julia.
Approximate Bayesian Computation (ABC) algorithms for likelihood free inference in julia
Source code for my PhD thesis: Backpropagation Beyond the Gradient
Implementation of normalising flows and constrained random variable transformations
Overdub Your Julia Code
Large language model (e.g., ChatGpt) for scientific machine learning and mathematical biology
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Differentiable Optimization-Based Modeling for Machine Learning
Codes for Paper "Discovering first-principle behavior change transmission models by deep learning methods, Pengfei Song, Yanni Xiao, Jianhong Wu."
The basic distribution probability Tutorial for Deep Learning Researchers
Codes for paper "Estimating time-varying reproduction number by deep learning techniques"
A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language
A MathOptInterface Optimizer to solve JuMP models using GAMS
Provides likelihood functions for Gaussian Processes.
Financial market technical analysis & indicators in Julia
An intuitive modeling interface for infinite-dimensional optimization problems.
one for all free music in china (Windows, Mac, Linux desktop)
Tutorials on math epidemiology and epidemiology informed deep learning methods
Automatic Finite Difference PDE solving with Julia SciML
Inferring high-resolution human mixing patterns for disease modeling
Mathematical modelling of monkeypox
Mathematical biology, multiscale modelling of infectious disease, partial differential equations
For setting up my linux development environment. Including some configuration and envrionment files.
Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation