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Independent AI Projects Repository

Introduction

Welcome to my Independent AI Projects Repository. This collection showcases a variety of projects I've undertaken to explore and deepen my understanding of Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), and data science. Each project, created and tested on Google Colaboratory, addresses different challenges and applications within the AI/ML domain.

Projects Overview

Here's a brief overview of the projects included in this repository:

  • AI Integrity Shield: A study on ensuring AI systems' integrity.
  • AI System for Processing Customer Feedback: Analyzes customer feedback across e-communication channels.
  • Collecting Customer Feedback from Websites: Techniques for gathering direct customer feedback online.
  • Linear and Logistic Regression: Basic applications to data analysis and classification problems.
  • Lora Trainer: A training module for an AI/ML model named Lora.
  • Model Fine-Tuning with BERT: Advanced techniques for optimizing BERT model performance.
  • Natural Language Processing with RNNs: Utilizing RNNs for processing natural language data.
  • Retrieval Augmented Generation for Mitigating "Hallucination": Solutions to the hallucination problem in generative AI models.
  • STR Algorithms: Exploration of Short Tandem Repeat algorithms in DNA analysis.
  • Utility Snippets for Importing Libraries: A collection of commonly used library import snippets.
  • Workshop on Causal Inference: Insights from a causal inference workshop.
  • Analysis of Price Trends and Forecasting Purchases: Applying regression and LSTM models for financial analysis.
  • Food Safety Project: Investigating food safety standards with AI.
  • Understanding Representation Models in LLMs: A deep dive into representation techniques in language models.
  • Classifying Technology-Related Sentences: Determining whether sentences are related to technology.
  • And more...

Getting Started

To dive into these projects:

  1. Clone this repository to your local machine or open it in Google Colaboratory.
  2. Navigate to the project notebook you're interested in.
  3. Ensure you have the required dependencies installed. Refer to Snippets_Importing_libraries.ipynb for a list of necessary libraries.
  4. Run the notebooks to explore the projects, analyses, and outcomes.

Contribution

Contributions to this repository are welcome! Whether it's adding new projects, refining existing ones, or fixing bugs, your input is valuable. Feel free to fork this repository, make your changes, and submit a pull request.

License

This project is open-source and available under the MIT License.

Acknowledgements

Special thanks to all contributors and the AI/ML community for the continuous exchange of knowledge and inspiration.

Happy Exploring!

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Independent Projects in AI, ML, and LLM

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