Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition

A library for scientific machine learning and physics-informed learning

Python implementation of the Method of Moving Asymptotes (MMA)

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

Differentiable Finite Element Method with JAX

OpenSees Source Code Repository

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

Overview and tutorial of the LangChain Library

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Simply beautiful open-source icons

Python scripts connected to Strogatz's nonlinear dynamics and chaos theory text.