PHYSICS-BASED ML VAULT
A gated library of Jupyter Notebooks teaching subjects like PINNs, Neural Operators, Diffusion Models, and more.
Each series includes notebooks to go from zero to solving various complex problems. New notebooks will be added to the series frequently.
Notebooks walk through the following:
- Concepts
- Math
- Code
Grab Your FREE Notebooks
The first notebooks in each series can be found for free. Please insert your email, and we will give you access to our Google Drive folder.
Diffusion Models
(FREE Notebook) Part 1: Basics of Diffusion Models Explained Through Physics [Score Matching]
Physics Informed Neural Nets
(FREE Notebook) Part 1: Physics Informed Neural Net Simply Explained with an Example [PINNs Direct Problem]
energy Based Models
(FREE Notebook) Part 1: Introduction to Generative AI Energy-Based Models
(FREE Notebook) Part 2: How to Regress using Energy-Based Models
(FREE Notebook) Part 3: How to do Classification with Energy-Based Models
(FREE Notebook) Part 4: Neural Networks as Energy-Based Models
(FREE Notebook) Part 5: Energy Based Generative Models Explained Through an Example
(FREE Notebook) Part 6: Generate MNIST images from Noise with an Energy Model
