This repository contains materials for the Generative AI Full Course organized by the TensorFlow User Group Kathmandu. The course is designed to provide participants with a comprehensive understanding of generative artificial intelligence techniques and applications.
- Prabhash Kumar Jha
- Ashish Aryal - LinkedIn
The course is organized into modules covering various aspects of generative AI. Each module includes lecture slides, code examples, and additional resources.
- Python 3.11.4
- Pytorch
- TensorFlow
- Jupyter Notebooks
- Clone this repository:
- Navigate to the desired module directory and exercises.
- Follow the instructions provided in the README file of each module to run the code examples and access the lecture materials.
Contributions to this course material are welcome! If you find any issues or have suggestions for improvements, please feel free to open an issue or submit a pull request.
For any inquiries or feedback regarding the course, you can reach out to the organizers via the following channels:
- Prabhash Kumar Jha: [email protected]
- Aashish Aryal : [email protected]
This course material is provided under the MIT License. Feel free to use and modify it for educational purposes.