This repository contains Jupyter notebooks implementing various deep learning models and architectures from scratch using PyTorch and TensorFlow. It covers traditional ML algorithms (perceptron, logistic regression), multilayer perceptrons with regularization, convolutional neural networks, recurrent networks, and modern architectures. Both framework implementations are provided side-by-side for comparison.