https://edgarsmdn.github.io/MLCE_book/

Hands-on material for a Machine Learning in Chemical Engineering course
https://edgarsmdn.github.io/MLCE_book/

chemical-engineering deep-learning jupyter-book machine-learning process-systems-engineering python

Last synced: about 2 months ago
JSON representation

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

• Host: GitHub
• URL: https://edgarsmdn.github.io/MLCE_book/
• Owner: edgarsmdn
• License: apache-2.0
• Created: 2023-02-28T09:38:42.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-08-18T19:51:37.000Z (over 1 year ago)
• Last Synced: 2023-12-16T15:56:25.176Z (12 months ago)
• Topics: chemical-engineering, deep-learning, jupyter-book, machine-learning, process-systems-engineering, python
• Language: Jupyter Notebook
• Homepage: https://edgarsmdn.github.io/MLCE_book/
• Size: 51 MB
• Stars: 56
• Watchers: 5
• Forks: 13
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-chemical-engineering-education - Machine Learning in Chemical Engineering (MLCE) - made by the [Process Systems Engineering group](https://www.mpi-magdeburg.mpg.de/pse) at the Otto von Guericke University / MPI Magdeburg and the [Optimisation and Machine Learning for Process Systems Engineering group](https://www.imperial.ac.uk/optimisation-and-machine-learning-for-process-engineering/about-us/) at Imperial College London (Textbooks)