basharbme

2048-console

A clone of the game 2048 in the console written in vanilla python without any imports.

2048-DeepQLearning

Implementation of an agent able to play 2048. Report, evaluation and implementation details in the GitHub repository. During the project I gained experience with Reinforcement learning technologies such as the gym framework and the Keras-rl library.

3D-Bioprinter-parts-and-accessories

A collection of STL files used for building or modifying a FDM printer to print gels

bone-segmentation

Source code behind the paper Fully automatic and fast segmentation of the femur bone

EEG_Classification_Deeplearning

EEG Signal Classification using LSTM on various datasets

Health_Discernment_System

An efficient and user-friendly application with GUI based (Tkinter) front-end and various custom CNN models as back-end which detects various human diseases such as Malaria, Pneumonia, Breast Cancer and Skin Cancer using cell, tissue, x-ray or skin images.

Intelligent-Estimation-of-Speed-of-Induction-Motor

speed tracking capability of model reference adaptive system (MRAS) with model-based flux/speed observers and artificial neural network (ANN)-based adaptive speed estimators for sensorless induction motor (IM) drives has been analyzed. In model-based technique, mathematical model of IM is used to estimate the rotor speed. The current and flux observers are used as the reference model to estimate the rotor flux. The estimated rotor flux signals are used as the input signal for the adaptive observer to estimate the speed. In ANN-based method, adaptive model is constructed with a feedforward neural network to estimate the rotor speed. Feedforward ANN algorithm is used to train the network. The training algorithm decides the learning speed, stability, and dynamic performance of the system. Both methods have good speed tracking capability. Simulation results are presented to know the accuracy of the proposed methods. The proposed speed estimation techniques have great potential in industrial applications.

MONAILabel

MONAI Label is an intelligent open source image labeling and learning tool.

SmileToCast-Blender

Blender console easily convert dentist planning smile to 3D printable customized cast for veneers \ or cosmetics procedure planning .. Cast to be then scaled to real size impression.

TMJ-prosthesis-Blender

Open source TMJ Prosthesis Customizable to patient anatomy

basharbme/MONAILabel

MONAI Label is an intelligent open source image labeling and learning tool.

basharbme/automatic-liver-segmentation

using labeled and unlabeled (and doing the labeling manually) data, the data is basically medical files (NIfTI & DICOM images) to ensure a good segmentation of the liver

basharbme/Droplet-Detection

Automatic droplet detection program for Project Symphony researchers.

basharbme/face-mask-detection-1

In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

basharbme/FaceMask-Detection-using-Deeplearning

A python tool to detect if a person is wearing a mask or not in real-time using deep learning techniques. It works with images, videos, and real-time videos as well.

basharbme/Hippocampus_Segmentation_MRI

Udacity AI for Healthcare Nanodegree Project: Automated Segmentation of Hippocampus Structures from 3D MRI Volumes

basharbme/SlicerRT

Open-source toolkit for radiation therapy research, an extension of 3D Slicer. Features include DICOM-RT import/export, dose volume histogram, dose accumulation, external beam planning (TPS), structure comparison and morphology, isodose line/surface generation, etc.

basharbme/astra-toolbox

ASTRA Tomography Toolbox

basharbme/autism

Data Challenge on Autism Spectrum Disorder detection

basharbme/blendercam

Automatically exported from code.google.com/p/blendercam

basharbme/DeepVoro

Few-shot Learning as Cluster-induced Voronoi Diagrams (ICLR 2022)

basharbme/DropletAnalysisCpp

basharbme/Face-Mask-Detection

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

basharbme/Fine-tuned-VGG16-for-Vehicle-classification

Vehicle classification using deep neural network

basharbme/fognetpp

basharbme/Medical-Conversions

basharbme/nomkl-feedstock

A conda-smithy repository for nomkl.

basharbme/OsteotomyPlanner

basharbme/Pnemonia-Detection-usingTransfer-Learning

basharbme/pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

basharbme/RSSAHeuristicSolver

This simulator implements a greedy heuristic algorithm and metaheuristic simulated annealing algorithm to solve the RSSA - routing, spectrum and space allocation problem in optical networks.

basharbme/serpentine-env

VANET simulation using Veins-Gym to combine Veins with Reinforcement Learning

basharbme/Sessile.drop.analysis

Python script to analyse sessile drops by measuring contact angle, drop volume and contact line speed

basharbme/SFML

Simple and Fast Multimedia Library

basharbme/SPACH

basharbme/Steam_Price_Predictor

A project based on python and machine learning to predict future price for items available on steam(gaming platform) community market.

basharbme/TransUNet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

basharbme/Vehicle_Detection

Vehicle detection using image processing and classical machine learning

basharbme/Vision-Transformer-Segmentation

Implement ViT Segmentation PyTorch for HuBMAP kaggle competition.

basharbme/x-ray-abnormality-detection

An attempt at the Bone X-Ray Deep Learning Competition (Stanford ML Group).