Quranic Lexical/Semantic Search

Implementing Neural Networks for Computer Vision in autonomous vehicles and robotics for classification, pattern recognition, control. Using Python, numpy, tensorflow. From basics to complex project

Learn how to create a pooling operation from scratch using Pytorch (python) or building your own C++ extension.

This repository contains the experiments that are described in the paper "A Theoretical Analysis of Pooling Operation Using Information Theory"

This repository presents my project on Car Detection Algorithm for Self-Driving Cars using the YOLO object detection algorithm.

Traffic signal identification using Keras LeNet architecture. Identify 43 different classes of images with over 90% accuracy.

This repository contains a project focused on handwritten digit classification using a Convolutional Neural Network (CNN). The goal was to classify digits (0-9) from the widely-used MNIST dataset.

To recreate memories of B/w images.Advanced deep learning model for automatic image colorization from grayscale (B/W) Images.

Contains notebooks that does categorical classification of shop items using embeddings in CNNs and Pyspark(Logistic Regression and MLlib)

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

A deep learning project that uses a Convolutional Neural Network (CNN) to automatically recognize human facial expressions from images. The model is trained on labeled facial emotion datasets to classify emotions such as happy, sad, angry, surprised, and more with high accuracy.