This repository contains assignments and projects related to the various Generative AI courses offered at Northeastern University. The projects cover a wide range of topics, including deep learning, neural networks, machine learning algorithms, and practical applications of AI technologies.
Each folder in the repository corresponds to a specific project or assignment. Below is a brief description of what each contains:
- advanced-llms: Projects and experiments involving advanced language model implementations right from building a simple MLP to discussing the architecture of Transformer Models
- clustering-colors: Segment images based on the similarity of colors using the RGB color space. Exploring the k-means clustering techinique on images
- cnn-intro: Introduction to Convolutional Neural Networks (CNNs), including basic implementations and experiments to understand effect on the performance by varying modeling aspects
- loan-data-classification: Machine Learning project involving the classification of loan data using Multi-Layer Perceptrons (MLPs)
- sentence-similarity: The project covers traditional methods for calculating sentence similarity, providing a foundation before diving into more advanced, neural network-based techniques including word embeddings and RAG
To get started with any of the projects:
- Clone the repository using:
git clone https://github.com/parthasarathydNU/gen-ai-coursework.git - Navigate into the project directory you are interested in.
- Read the specific README.md in each folder for detailed instructions on setup and execution.
To contribute:
- Fork the repository.
- Make your changes or additions.
- Submit a pull request with a detailed description of your contributions and any necessary reviews.
The contents of this repository are available under the MIT license unless otherwise explicitly stated.
For any further queries regarding the projects or the coursework, feel free to reach out to me on LinkedIn or email me at parthasarathyd@northeastern.edu.