Name: Bashar Shami
Type: User
Company: Ingenieria Biomedica Arte
Bio: Biomedical Entrapruneur,Researcher, 3D printing ,Modelling , AI , robotics ,Application,Developing,Algorithms , Python ,C++,.Blender,3DSlicer,Autodesk.
Location: Jordan/AMMAN
Blog: https://github.com/basharbme
Bashar Shami's Projects
A Brain Tumour Classifier
A Lightweight Deep Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Framework for Python
Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
Deep learning for biomedical application(with tensorflow)
sample codes for using deep learning libraries on windows, even normal laptop
Deep Learning Tutorial notes and code. See the wiki for more info.
[ECCV 2020] "Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches"
For more details, see paper: DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optical Networks
Few-shot Learning as Cluster-induced Voronoi Diagrams (ICLR 2022)
Defect detection based on OpenCV and Keras approach
Deldo is a sex toy control and teledildonics mode for Emacs
Larger format, 1M high Delta 3D Printer
Implementation of DenseNet model on Standford's MURA dataset using PyTorch
This work aims to understand what is 'wrong' with the mutated protein, i.e. to understand the proteins' distribution with respect to the molecules in the Dent disease.
FYP Fall 2108
3d stl auto slicing & auto matching
School Project using HTML, CSS, JS for front end and Python Flask for backend.
Person Identification based on dental records using Deep Neural Networks. My Btech final year project.
A generative model for making dental prosthetics.
Dental Laboratory
使用eigen做laplace型变用到的LU分解
Mobile app for dentist clinic
Single page Jekyll theme for dental clinics
Please use the following assignment for Data Scientist position: The deadline of Assignment is 3 days. 1. Download the data-set from : https://warwick.ac.uk/fac/sci/dcs/research/tia/glascontest/download/ 2. Augment the data-set to make it efficient against shift, light variation and other noise. 3. Train a transfer learning based classifier to classify images according to benign/malignant given in the Excel file. 4. Train a transfer learning based Semantic segmentation according to the annotation in _anno.BMP file. 5. Upload the assignment on your Github in form of a IPYNB showing results on a few test set images.
Predicting depression from acoustic features of speech using a Convolutional Neural Network.
Alexa skill for people suffering with depression.
Algorithm based on machine learning to accurately measure the characteristics of DOI gamma cameras.
Detection of Cholesterol in Iris
In this project, we will be coding a vehicle counting and detection system. It will be enough to work for both the images or the video, for the same, we will be using OpenCV for doing all the image processing operations and for classification the car and bus HAAR cascade classifier for detecting and counting the cars and buses.