This repository contains the course materials for EMIA6500E. The course is designed for students who are interested in learning about the applications of machine learning and deep learning, especially AI4science and Generative AI. The course is designed to be accessible to students with a wide range of backgrounds, including students with no prior experience in machine learning or deep learning.

If you have any coding questions, please ask ChatGPT first, GPT4 will be better. If ChatGPT fails to answer your question, you can open an issue in this repository. We will try to answer your question as soon as possible.

You can also reach out to the TAs or the instructor every Thursday during class.

Updates:

• 🔥 2024-02-07: Now we have updated environment installation instructions for Windows, Mac, and Linux. Please check the code1_install_env folder for the instructions. We also provide a verify script code1_install_env/verify_env.py to verify your installation, as well as a minimal pytorch jupyter example code1_install_env/fit_quadratic.ipynb to help you understand how to use pytorch in a jupyter notebook.