Representational Learning Scripts

A collection of frequently used scripts and tools for detection, segmentation, and representation learning.

Overview

This repository contains implementations and experiments related to learning meaningful representations from data, including feature extraction, embedding generation, and analysis utilities.

Contents

rep_learn_scripts/
├── scripts/
├── notebooks/
├── data/
├── results/
├── requirements.txt
└── README.md

• scripts/ - Core implementation scripts
• notebooks/ - Jupyter notebooks with examples and experiments
• data/ - Sample datasets and preprocessing utilities
• results/ - Output logs and trained models

Getting Started

1. Clone or navigate to this directory
2. Install dependencies: pip install -r requirements.txt
3. Review the notebooks for usage examples
4. Run scripts from the command line as needed

Requirements

• Python 3.8+
• See requirements.txt for package dependencies

License

Contributing

Contributions welcome. Please open an issue or pull request.