Kenta Ogawa's starred repositories
cibook-study-python
効果検証入門のコードをPythonで実装しました。
jax-autovmap
Automatically apply JAX vmap given base dimensions of inputs
normalizing-flows
PyTorch implementation of normalizing flow models
deeponet-fno
DeepONet & FNO (with practical extensions)
neuraloperator
Learning in infinite dimension with neural operators.
DataDrivenDiffEq.jl
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
pinn-torch
PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
NonLinPDEs-GPsolver
Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes
databook_python
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
phd-thesis
I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth
linear_operator
A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
NumericalGP
Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations