Ahsan Umar

A comprehensive collection of machine learning algorithms implemented from scratch and using popular libraries, with detailed explanations and practical examples.

QuantLLM is a Python library designed for developers, researchers, and teams who want to fine-tune and deploy large language models (LLMs) efficiently using 4-bit and 8-bit quantization techniques.

The MathGPT is a web application built with Streamlit that allows users to input mathematical problems and receive solutions. The app supports both text and LaTeX input, making it versatile for various mathematical expressions.

DarkGPT Chat Explorer is an interactive web application that allows users to engage in conversations with various GPT (Generative Pre-trained Transformer) models in real-time. This repository contains the source code for the application.

This repository guides you through the process of building a GPT-style Large Language Model (LLM) from scratch using PyTorch. The structure and approach are inspired by the book Build a Large Language Model (From Scratch) by Sebastian Raschka.

Faceless Video Generator is an AI-powered tool for creating engaging videos from any topic. By leveraging state-of-the-art AI for script generation, text-to-speech audio synthesis, and background video matching, this project generates complete videos with minimal user input.