Hands-On Optimization with Python

Examples and tutorials for how to use CUDA-Q.

This repo contains CUDA-Q Academic materials, including self-paced Jupyter notebook modules for building and optimizing hybrid quantum-classical algorithms using CUDA-Q.

Chemical Reaction Neural Network

Implementation of exact and heuristic methods for the minimum number of matches in heat exchanger network design

FOQUS: Framework for Optimization and Quantification of Uncertainty and Surrogates

An intuitive modeling interface for infinite-dimensional optimization problems.

Mathematical Programming in JAX

torchvision-based transforms that provide access to parameterization

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

discovering interpretable conservation laws from differential equations

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

Sourcetrail - free and open-source interactive source explorer

An Elegant Neural Network User Interface to build drag-and-drop neural networks, train in the browser, visualize during training, and export to Python.

pyPhi is a python package to perform multivariate analysis using PCA and PLS methods

Nonlinear and Stochastic Optimization, CBE & ACMS 60499 / 40499 at U. Notre Dame

Hands-on material for a Machine Learning in Chemical Engineering course

Aspen HYSYS - Python connection