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1. NonLinPDEs-GPsolver NonLinPDEs-GPsolver Public

   Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes

   Jupyter Notebook 39 7

2. AffineInvariantSamplers AffineInvariantSamplers Public

   Code for the paper: New affine invariant ensemble samplers and their dimensional scaling (To be organized)

   Jupyter Notebook 1 1

3. interpolants/forecasting interpolants/forecasting Public

   Code for the paper: Probabilistic Forecasting with Stochastic Interpolants and Follmer Processes

   Python 12 4

4. GaussianProcessPDEs GaussianProcessPDEs Public

   An integrated demo: Gaussian processes for PDEs and inverse problems

   Jupyter Notebook 14 2

5. PDEs-GP-KoleskySolver PDEs-GP-KoleskySolver Public

   Code for the paper: Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes

   Jupyter Notebook 8 1

6. f-t-s/KoLesky.jl f-t-s/KoLesky.jl Public

   This package implements the methods described in https://arxiv.org/abs/2004.14455 for fast Gaussian process statistics

   Julia 5