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Abdulellah's Projects

autoaugment-urban icon autoaugment-urban

PyTorch AutoAugment policies implemented by Philip Popien and tested on urban images.

chess-game icon chess-game

2 Player chess game using the command line with a user-friendly matrix interface.

datasets icon datasets

A collection of datasets I compiled for research.

emojinettutorial icon emojinettutorial

An AI tutorial on the problem of object detection and segmentation using Keras

fast-trajectory-replanning icon fast-trajectory-replanning

Forward A*, Backward A* and Adaptive A* path-planning in relation to video game technologies. We have implemented several algorithms for path finding in a video game-like maze setting and observed their behaviors in several maze configurations.

filesystem icon filesystem

Impelementation of a simple Linux file system in FUSE

image-classification icon image-classification

Naive Bayes, Perceptron and MIRA machine learning algorithms for classifying digits and faces.

mapreduce-for-aws-emr-cluster icon mapreduce-for-aws-emr-cluster

MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel, distributed algorithm on a Hadoop cluster.

multi-class-image-classifier-keras icon multi-class-image-classifier-keras

Keras multi-class classifier for different architectural styles in the dataset provided by Zhe Xu in Architectural Style Classification using MLLR project.

multi-threaded-and-multi-processed-lols-compression-algorithm icon multi-threaded-and-multi-processed-lols-compression-algorithm

Rutgers University - Fall 2016 - The main purpose of this assignment is to implement a program that is able to compress a piece of text fetched from a specific file and then split this text after compression into several files, depending on user input. However, the split process will not be at the end of the compression, but during that process.

nivscg-keras icon nivscg-keras

Distinguishing Between Natural and Computer-Generated Images Using Convolutional Neural Networks in Keras.

photomanager icon photomanager

Photo Manager application project in Software Methodology (Spring 2017) at Rutgers University

pytorch-fcn icon pytorch-fcn

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

random-data-table-generation-csv icon random-data-table-generation-csv

Program for randomly generating a data table from lists of values. Lists used in this program are bars.txt, and beers.txt. Can be replaced by any lists of your choosing.

regression-algorithms icon regression-algorithms

Batch Gradient Descent, Stochastic Gradient Descent and Maximum Likelihood Estimation using Python.

sagpool icon sagpool

Official PyTorch Implementation of SAGPool - ICML 2019

serverclient-tcp-udp icon serverclient-tcp-udp

A server and client program using java, includes TCP and UDP transport protocols, in addition to pure streaming and stop-and-wait acknowledgement protocols

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