BabyGPT: Build Your Own GPT Large Language Model from Scratch Pre-Training Generative Transformer Models: Building GPT from Scratch with a Step-by-Step Guide to Generative AI in PyTorch and Python

Fall 2021 Introduction to Deep Learning - Homework 1 Part 2 (Frame Level Classification of Speech)

A NumPy-based implementation of neural networks from scratch, covering core components like forward and backward propagation, activation functions, loss functions, and optimizers, inspired by the "Neural Networks from Scratch" book.

A beginner's investigation into the world of neural networks, using the MNIST image dataset

This project classifies SMS messages as spam or ham using a feedforward neural network in PyTorch with a bag-of-words representation. It includes train/validation/test splits, performance evaluation (accuracy, sensitivity, specificity, precision), and saving the trained model and vectorizer for reuse in inference.