Inspired by Andrej Karpathy’s "Let’s Build GPT", this project guides you step‑by‑step to build a GPT from scratch, demystifying its architecture through clear, hands‑on code.

This project is an auto-filling text program implemented in Python using N-gram models. The program suggests the next word based on the input given by the user. It utilizes N-gram models, specifically Trigrams and Bigrams, to generate predictions.

Solutions for Andrej Karpathy's "Neural Networks: Zero to Hero" course

Advance information retrieval system that combines advanced indexing, machine learning, and personalized search to enhance academic research and document discovery.

Artificial Intelligence Course 4th Project: Implementing Bigram and Unigram models for filtering comments

AUT Principles and Applications of Artificial Intelligence course (Fall 2020) projects

It's a python based n-gram langauage model which calculates bigrams, probability and smooth probability (laplace) of a sentence using bi-gram and perplexity of the model.

Natural Language Processing - Part-Of-Speech Tagging

Very simple implementation of GPT architecture using PyTorch and Jupyter.

NLP-persian-poet-identification

Implementation of lightweight transformer model for character level text generation

This project is meant to generate a Local Language Model based on textual input.

Implementation of Handwritten Text Recognition Systems using TensorFlow

Detection of language of a written text using bigram letter model.

A basic application with necessary steps for filtering spam messages using bigram model with python language.

👨🏻‍💻 My own repository to explore LearnQuran tech product in particular -obviously- AI stuffs

Final year major project on big data analysis of instacart dataset and finally Product Bundle Recommendation using pyspark(for clustering) and bigram for recommendation

Detect the text language automatically using a bigram model, Support Vector Machines, and Artifical Neural Networks. The model is trained using the WiLI-2018 benchmark dataset, and the highest accuracy achieved on the test dataset is 99.7% with paragraph text.

COMP472 AI MINI PROJECT 3