Muhammad Adnan Anwar's Projects
Config files for my GitHub profile.
Summer School in Coimbra 2023
This repo contains some tutorial type programs showing some basic ways machine learning can be applied to CFD.
Public material for CS109
python ka chilla with data science
Finite Element Analysis Toolbox 3
Python for Scientific Computing (FEniCS, PyTorch, VTK)
Flow Problems benchmark solved with FEniCS including error analysis
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
A library for scientific machine learning and physics-informed learning
Collection of my assignments and work in the class MATH51 at Stanford
The repository implements a set of algorithms from the book "Methods in Computational Science", written by Johan Hoffman and published by SIAM, available at: https://my.siam.org/Store/Product/viewproduct/?ProductId=39300058
multiphenicsx - easy prototyping of multiphysics problems in FEniCSx
Numerical schemes for the Cahn-Hilliard equation.
Opytimal is a Python/FEniCS framework that hav the main goal solve Optimal Control problems considering multiple and mixed controls based to linear and nonlinear PDEs, in addition to can also solve PDEs simply and clearly.
A differentiable PDE solving framework for machine learning
physics-informed neural network for elastodynamics problem
Physics-informed neural network for solving fluid dynamics problems
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Python Data Science Handbook: full text in Jupyter Notebooks
This repository contains materials and files for Python ka chilla version 2.0 (version means course ka version not of python)
We upload the contents of our Data Science Course in this repository