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/abide-fmri

Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.

basharbme/airVelocityAttenuation

This project implements a sink term applicable to the momentum conservation equation of the multiphase OpenFOAM solvers (interFoam, interIsoFoam), which attenuates velocities in the air phase.

basharbme/black-hole-skymap

WebGL skybox/raytracer for relativistic phenomena. Currently black hole and Alcubierre warp drive bubble.

basharbme/Blender-Molecular-Script

This is my molecular python script for blender. A bit similar to Lagoa Multiphysic in Softimage.

basharbme/Car-Type-classification

This project is based on the convolutional neural network and computer vision technology. The model is trained to identify the car body type and the car color with an accuracy of 95%. This project could be practically used by the company which surveys the vehicles

basharbme/catalyst

Accelerated deep learning R&D

basharbme/ColonSegNet

Real-time polyp detection, localization and segmentation in colonoscopy using deep learning (IEEE Access)

basharbme/dataset

医学影像数据集列表 『An Index for Medical Imaging Datasets』

basharbme/drop-dynamics

A MATLAB code which reads numbers in a video, references, and calculates drop dynamics' characteristics

basharbme/Droplet-and-Spray-Model

basharbme/Euler-Solver

Euler Solver for numerical approximation of ordinary differential equations (ODEs)

basharbme/Hub

Dataset format for AI. Build, manage, query & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

basharbme/left-or-right-elbow-model

X-ray Classification Model for Left or Right Elbow Anteroposterior Projections

basharbme/libgdx

Desktop/Android/HTML5/iOS Java game development framework

basharbme/Load-Balancing-in-Fog-Network

Tags: Reinforcement Learning, Networking, Parallel Computing, OS

basharbme/Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

basharbme/Object_detection_with_cocodataset

basharbme/oral-lesions-detection

basharbme/Pan-Cancer-Nuclei-Instance-Segmentation

Instance Segmentation of 5 Different Cancer Nuclei Across 19 Unique Tissue Types

basharbme/PedicleScrewSimulator

3D Slicer module for pedicle screw insertion training

basharbme/quantum-mechanics

A collection of jupyter notebooks for quantum mechanics tutorials.

basharbme/Respiratory_disease_detection_Using_Transformer

使用Swin Transformer和Vision Transformer模型进行呼吸疾病检测

basharbme/SegFormer

Implementation of SegFormer in PyTorch

basharbme/SlicerDentalModelSeg

This extension aims to provide a GUI for a deep-learning automated teeth segmentation tool that we developed at the University of North Carolina in Chapel Hill.

basharbme/SlicerSandbox

Collection of utilities that are not polished implementations but can be useful to users

basharbme/Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

basharbme/Swin-Transformer-Object-Detection

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

basharbme/UIED

An accurate GUI element detection approach based on old-fashioned CV algorithms [Upgraded on 5/July/2021]

basharbme/vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

basharbme/Voronoi-Clustering

A simple approach of Voronoi Clustering