This repository contains Python games that I've worked on. You'll learn how to create python games with AI. I try to focus on creating board games without GUI in Jupyter-notebook.

This repository contains implementations of Retrieval-Augmented Generation (RAG) in Jupyter notebooks. It includes examples of building chatbots with and without history, processing PDFs with RAG, and using DeepSeek models for local RAG and financial document analysis.

Explore the world of Large Language Models (LLMs) with this introductory repository. Learn about LLM architectures, pre-training, fine-tuning techniques, popular models, and their applications. Delve into their limitations and ethical considerations using hands-on Jupyter notebooks.

In the last few years, I have developed a lot of Jupyter notebooks to draw fractals. In this repository, I will gradually share them. Creative Commons Attribution-ShareAlike 4.0 International License.

This Repository provides a Jupyter Notebook for building a small language model from scratch using 'TinyStories' dataset. Covers data preprocessing, BPE tokenization, binary storage, GPU memory management, and training a Transformer in PyTorch. Generate sample stories to test your model. Ideal for learning NLP and PyTorch.

This repository stores several Jupyter Notebooks that were developed while studying for the Certificate in Quantitative Finance.