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ML Playground

A machine learning playground for experimenting with various ML models and techniques.

🎮 Web Demos

Open any HTML file in visualizations/ in your browser.

Interactive Q-Learning reinforcement learning demonstration featuring a Pac-Man agent learning to navigate a maze and collect dots while avoiding ghosts. Built with HTML5 Canvas and JavaScript, this demo showcases RL concepts including Q-value visualization, hyperparameter tuning, and training progress monitoring.

Q-Learning Pac-Man Demo

Modeling Projects

Image generation and reconstruction models including autoencoders, VAEs, and planned implementations of GANs, Stable Diffusion, and Diffusion Transformers (DiT).

Sentence embedding learning using SimCSE approach.

Docker-based environment for LLM post-training experiments.

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A repo of the ml demos.

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