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Learn how to develop, deploy and iterate on production-grade ML applications.
Lectures on scientific computing with python, as IPython notebooks.
Implementation of 17+ agentic architectures designed for practical use across different stages of AI system development.
A place to share problems solved with SciANN
Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples
Introductory workshop on PINNs using the harmonic oscillator
This is a more pythonic implementation of OpenSeesPy library to model and analyze structural problems in Jupyter notebooks
Implementing a physics-informed DeepONet from scratch
FEM enhanced neural network
Failure mode identification of shear walls
Implementation of some machine learning algorithms
A novel physics-informed deep neural operator framework for solving PDEs and related inverse problems based on deep generative modeling
lambdify a SymPy expression using Numba
Classification of buildings based on textual description
mgrubisic / introduction-to-python-for-computational-science-and-engineering
Forked from fangohr/introduction-to-python-for-computational-science-and-engineeringBook: Introduction to Python for Computational Science and Engineering
Adding my solution to examples of book "Introduction to Continuum Mechanics" 4th edition by Michael Lai. I use Jupyter notebook to write the equations and code. Critics welcome!
Data visualization and analysis of shear wall and column data
vijaypolimeru / introduction-to-python-for-computational-science-and-engineering
Forked from mgrubisic/introduction-to-python-for-computational-science-and-engineeringBook: Introduction to Python for Computational Science and Engineering