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Represent trained machine learning models as Pyomo optimization formulations
🪄 Create rich visualizations with AI
Anthropic's Interactive Prompt Engineering Tutorial
Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
Applied Numerical Computing Course
Hands-on material for a Machine Learning in Chemical Engineering course
A curated list of online chemical engineering education resources
A curated list of datasets, publically available for machine learning research in the area of manufacturing
Combining tree-boosting with Gaussian process and mixed effects models
Transforms your CasADi functions into batchable JAX-compatible functions. By combining the power of CasADi with the flexibility of JAX, JAXADi enables the creation of efficient code that runs smoot…
A tool to optimize real world problems
Turn SymPy expressions into trainable JAX expressions.
Python interface to Claude Light
DWSIM is a Steady-State and Dynamic Sequential Modular Chemical Process Simulator for Windows, Linux and macOS.
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
A repository of Pyomo examples.
Differentiable Optimization-Based Modeling for Machine Learning
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Manopt, a Matlab toolbox for optimization on manifolds
A python library to build Model Trees with Linear Models at the leaves.