Welcome to the Projects repository! This repo serves as a central hub for my collection of smaller machine learning and deep learning projects. As I explore new ideas and techniques, I'll add them here for learning, experimentation, and sharing with the community.
This repository is a living collection of my experiments and learning journeys in machine learning. The focus is on practical code, clear documentation, and sharing insights. Each project is self-contained within its own directory, with code, documentation, and (where relevant) sample results.
A basic implementation of a CNN for image classification tasks. This project demonstrates data preprocessing, model architecture, training, and evaluation using a standard dataset.
Features:
- Data loading and augmentation
- Custom CNN architecture
- Training loop and evaluation metrics
A simple GAN designed to generate synthetic data/images. The project showcases the interplay between generator and discriminator networks, loss curves, and sample outputs.
Features:
- Basic GAN architecture
- Training process visualization
- Generated sample outputs
More projects will be added to this repository over time. Stay tuned!
I regularly write about my projects, machine learning, and my learning experiences:
- Medium: @robin.hamers
- LinkedIn: Robin Hamers
Feel free to connect, ask questions, or suggest improvements!
Thank you for checking out my work! If you find these projects helpful, please star the repository and follow me for future updates.