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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.
Differentiable Finite Element Method with JAX
Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.