Tsinghua University Advanced Machine Learning (AML) Homework 2024 fall

Overview

This repository contains the homework assignments for the Advanced Machine Learning (AML) course at Tsinghua University for the Fall 2024 semester. The course covers advanced topics in machine learning, including deep learning, probabilistic models, optimization techniques, and applications in various domains.

Structure

Skip

Prerequisites

To work on the assignments, you should have:

• A solid understanding of basic machine learning concepts.
• Familiarity with Python programming.
• Experience with libraries such as NumPy, Pandas, TensorFlow, or PyTorch.

Getting Started

1. Clone the repository:

   git clone https://github.com/your-username/aml-homework-2024.git
   cd aml-homework-2024

2. Install the required dependencies:

   pip install -r requirements.txt

3. Navigate to the assignments/ folder to start working on the homework.

Contribution

Contributions are welcome! If you find any issues or have suggestions for improvement, feel free to open an issue or submit a pull request.

License

This repository is for educational purposes only. Please adhere to the course's academic integrity policies when using this material.

Contact

For any questions or clarifications, please contact the course instructors or teaching assistants.