Welcome to the Generative AI repository! This repository is organized into two main sections: Concepts, which provides foundational knowledge, and Practical Projects, where you can explore real-world applications of generative models.
In this section, you will find a collection of fundamental concepts in Generative AI. These resources cover the theory and principles behind various generative models and techniques. Click the link below to explore:
- Concepts
Access theoretical resources, including notes on GANs, VAEs, transformers, and more.
Here is a curated list of practical projects that showcase the applications of Generative AI across different fields. Each project includes code, documentation, and examples to facilitate understanding and experimentation.
- Attention Is All You Need
This project focuses on implementing the attention mechanism, a core component of the Transformer architecture, widely used in natural language processing and other AI applications.
This Generative AI repository aims to provide both a theoretical background and hands-on experience with generative models. Whether you're new to Generative AI or looking to deepen your knowledge, you’ll find resources and projects that cater to various skill levels and interests.
For other related projects, visit my GitHub profile.