mntalha

QT_EXAMPLE

TG02H printer code file with QT Software

mntalha/QT_EXAMPLE

TG02H printer code file with QT Software

mntalha/Atom_Generation

mntalha/Autoencoder

mntalha/Classifier-GAN

Tests on different GANs to increase the accuracy ratio of discriminator.

mntalha/CNN-Visualize-Feature-Maps

Illustrate how to show output of images between hidden layers.

mntalha/CXR_Detecter

Deep learning model based classification application by means of PyQt5 GUI supports.

mntalha/Data_Augmentation

Find optimum ways in terms of simplicity in Data Augmentation

mntalha/Efficient-PyTorch_Dataloader_Application

Created to explain how to use DataLoader effectively in PyTorch.

mntalha/Fastest-Approach-to-Read-Images

Find fastest approach to read thousands of images into one big array.

mntalha/Github_Usage

This repository is created to highlight the critical points of using git version control system.

mntalha/Histogram_Equalization

show the best way among the given technics by investigating the comparisons.

mntalha/hydra-practice

It is comprised of practices to be familiar with the Hydra module in Python.

mntalha/Image_Registration

Illustrates different images registration technics and compares both pros and negs

mntalha/LicencePlateRecognition

It includes my Matlab works on License Plate Recognition

mntalha/MNIST

It contains Digit Recognition in CNN with MNIST Dataset project file

mntalha/mntalha

Config files for my GitHub profile.

mntalha/mntalha.github.io

Template for academic personal websites, forked from mmistakes/minimal-mistakes

mntalha/opencv_base

Contains spesific code fragments

mntalha/pycodes

Specific pytonic code fragments

mntalha/PyTorch-Class-Based-Training

Constitutes of separate classes that covers training, test, and validation for the classification tasks in PyTorch

mntalha/Pytorch_Base

The purpose is to build base code for user using Pytorch library.

mntalha/Pytorch_Save_Best-Model

Illustrate how to save best model for subsequent use and highlight the critical points.

mntalha/TCP_Server

It contains python codes for tcp communciation

mntalha/Top-K-Accuracy-Error

Shows how to calculate Top-K value in image classification and gives related examples.

mntalha/U-NET_Iplementation

Contains U-Net basic implementation and result

mntalha/VQ-MDN