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Bashar Shami's Projects

lineardecoder icon lineardecoder

This repository contains the code for Linear Decoder. Using Linear decoder we will learn features on color images from STL-10 dataset. These features will be used in CNN exercise for classifying STL-10 images. The dataset can be downloaded from http://deeplearning.stanford.edu/wiki/index.php/Exercise:Learning_color_features_with_Sparse_Autoencoders The entire code has been written in Matlab. For more information, please refer to above link.

lsfm icon lsfm

Large Scale Facial Model (LSFM) - an automatic pipeline for constructing 3D Morphable Models from large collections of facial meshes

lstm_attention_tf icon lstm_attention_tf

Add attention layer to LSTM/word2vec model for sentiment analysis using tensorflow

ludo icon ludo

An interactive, offline version of the popular Ludo board game using OpenGL

machineblackjack icon machineblackjack

Black jack game with machine learning and probability theory recommendations

machinehub icon machinehub

A Python-server that allows to execute machines (scripts) based on open source tools (FreeCAD, ...) through a nice web interface

mask_rcnn icon mask_rcnn

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

matching-3d-models icon matching-3d-models

In oral and maxillofacial surgery, there is the situation that the lower jaw, the mandible, is partially destroyed, e.g. by tumor or accident, and must be replaced. For this purpose, a piece of bone is taken from the iliac crest. The question now is, which piece is best suited. In addition to the many medical constraints (trauma, vascularization, muscle insertion, access, etc.), one aspect is of great importance: the accuracy of fit. So find the best piece on the iliac crest to replace the mandibular piece.

material-ui icon material-ui

React components for faster and easier web development. Build your own design system, or start with Material Design.

mathgeolib icon mathgeolib

A C++ library for linear algebra and geometry manipulation for computer graphics.

matrix-free-pseudo-spectral-solver-for-spherical-double-diffuive-convection icon matrix-free-pseudo-spectral-solver-for-spherical-double-diffuive-convection

Spatial localisation typically arises in large aspect ratio domains. To study this requires a high dimensional system ~10^6 unknowns, making the construction and storage of matrices impractical on small workstations. Code to perform time-stepping, steady state solving, stability analysis parameter continuation of a model of rotating thermal convection in a spherical shell geometry

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