Pinned Repositories
KoLesky.jl
This package implements the methods described in https://arxiv.org/abs/2004.14455 for fast Gaussian process statistics
forecasting
Code for the paper: Probabilistic Forecasting with Stochastic Interpolants and Follmer Processes
Consistency-EB-and-KF
code for the paper: Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation
ExponentialMsFEM.jl
Code for Exponentially convergent multiscale finite element methods (ExpMsFEM)
GaussianProcessPDEs
An integrated demo: Gaussian processes for PDEs and inverse problems
HighDimPDEs-GPsolver
work in progress
NonLinPDEs-GPsolver
Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes
PDEs-GP-KoleskySolver
Code for the paper: Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes
Time-Dependent-PDEs-GPsolver
work in progress
Wasserstein-Natural-Gradient
code for the paper: Optimal Transport Natural Gradient for Statistical Manifolds with Continuous Sample Space
yifanc96's Repositories
yifanc96/NonLinPDEs-GPsolver
Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes
yifanc96/GaussianProcessPDEs
An integrated demo: Gaussian processes for PDEs and inverse problems
yifanc96/PDEs-GP-KoleskySolver
Code for the paper: Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes
yifanc96/Time-Dependent-PDEs-GPsolver
work in progress
yifanc96/Wasserstein-Natural-Gradient
code for the paper: Optimal Transport Natural Gradient for Statistical Manifolds with Continuous Sample Space
yifanc96/ExponentialMsFEM.jl
Code for Exponentially convergent multiscale finite element methods (ExpMsFEM)
yifanc96/Consistency-EB-and-KF
code for the paper: Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation
yifanc96/HighDimPDEs-GPsolver
work in progress
yifanc96/18337
18.337 - Parallel Computing and Scientific Machine Learning
yifanc96/hardware_introduction
What scientific programmers must know about CPUs and RAM to write fast code.
yifanc96/JuliaCologne21
Julia workshop for undergrad physicists
yifanc96/basic-codes-NNs
some basic codes in NNs
yifanc96/JuliaOulu20
Julia Workshop @ University of Oulu, Finnland
yifanc96/LearnViT
Code for my learning of Vision Transformer
yifanc96/Multiscale-via-Subsampling
code for the paper: Multiscale Elliptic PDEs Upscaling and Function Approximation via Subsampled Data
yifanc96/NonlinearPDE-GP
Julia code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes
yifanc96/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
yifanc96/yifanc96.github.io
My personal website