George Miloshevich's repositories
Climate-Learning
How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
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
georgemilosh.github.io
Personal website of George Miloshevich
pbdl-book
Welcome to the Physics-based Deep Learning Book (v0.2)
Language:Jupyter Notebook000
PDEsByNNs
This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
Language:Jupyter NotebookMIT000
PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Language:Jupyter NotebookMIT000