georgemilosh
I am a physicist working on the interface between environmental science, plasma physics and machine learning.
KU LeuvenLeuven
Pinned Repositories
EW2-heatwaves
One of the exercises for the second Critical Earth ESR Workshop (April 2022, Berg en Dal, Netherlands)
general_purpose
Set of general purpose python functions
3DMHD-Corona
3D MHD model of solar coronal loop structure
climate-informatics-2023
Jekyll template for a conference website containing program, speaker, talks and room overview
Climate-Learning
How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
DeePyMoD
Equation discovery with the help of
DeePyMoD_torch
Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]
georgemilosh.github.io
Personal website of George Miloshevich
pysindy
A package for the sparse identification of nonlinear dynamical systems from data
qgs
A 2-layer quasi-geostrophic atmospheric model in Python. Can be coupled to a simple land or shallow-water ocean component.
georgemilosh's Repositories
georgemilosh/Climate-Learning
How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
georgemilosh/3DMHD-Corona
3D MHD model of solar coronal loop structure
georgemilosh/climate-informatics-2023
Jekyll template for a conference website containing program, speaker, talks and room overview
georgemilosh/DeePyMoD
Equation discovery with the help of
georgemilosh/pysindy
A package for the sparse identification of nonlinear dynamical systems from data
georgemilosh/qgs
A 2-layer quasi-geostrophic atmospheric model in Python. Can be coupled to a simple land or shallow-water ocean component.
georgemilosh/DeePyMoD_torch
Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]
georgemilosh/georgemilosh.github.io
Personal website of George Miloshevich
georgemilosh/multi_gpu_training
georgemilosh/pbdl-book
Welcome to the Physics-based Deep Learning Book (v0.2)
georgemilosh/PDEsByNNs
This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
georgemilosh/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
georgemilosh/distributed-pytorch
Repository of code samples for distributed fault-tolerant training