rabia174

Andrew-Ng-Machine-Learning-Notes

The offical notes of Andrew Ng Machine Learning in Stanford University

Computer-Graphics-with-WebGL---Sample-Projects

2D and 3D Transformations, Lighting, Texture Properties, and more...

ConformaSight

COVID-19-Deep-Learning-CNN-Model

Here, I created my own deep learning(CNN) model for early detection of COVID-19 from chest x-ray images. If we were to answer the question that why we need a deep learning model for early detection of COVID-19 from chest x-ray images, we can say the followings, doctors have seen that even if the test kits desined for diagnosis results in negative, the real results are positive for some patients when they review the chest X-ray images. For now the public dataset contains less amount of data which you can see in the dataset2 folder. We get this dataset from open-source https://github.com/ieee8023/covid-chestxray-dataset, but for sure it is not enough to train a proper deep learning model. But just to show that how easy it is to create an AI for the early detection of these kind of viruses. Just keep in mind that this cannot be used for diagnosis without training many more images in high-resolution and professinal medical tests. There you go! Let's work together to fight against COVID-19. As a tool, I used Keras with Tensorflow background, and the model can be improved by addig more convolution and pooling layers, and increasing the number of feature detectors'. Don't forget to upvote. Best Regards.

COVID-19_Detection_Desktop_Application_Software

It is a Python desktop application software which takes a chest x-ray image and then produces probabilities belong to each class with a Grad-CAM.

COVID-19_In_Italy_Exploratory_Data_Analysis

This repository is created in order to analyze why COVID-19 spreading faster in North Italy when compared to other regions of Italy.

Data-Science-Internship-Works-at-TURKSAT

Aim of this internship is first to learn about data science, big data visualization, machine learning and deep learning, implement the following tools: anaconda, jupyter notebook, spider and the libraries following: numpy,pandas,matplotlib,seaborn,plotly,scikit-learn by describing the platforms used by data scientists like kaggle and finally integrating the machine learning into e-government platform.

Kuopio-University-Hospital-Microsurgery-Department-Visualize-Interactive-Software

The Visualize Interactive is a desktop software developed to visualize physiological signals during the activities called mesh alignment, knotting, and go-around which are done by the participants of the research team who participated in the synchronization and analysis of the biomarkers under noise and stress. You can download and install the application by using the following link, https://drive.google.com/drive/folders/1ZKrVuZ17Yat7EvErFob9E1PCWSaoPHpm

Synchronization-and-Analysis-of-the-Biomarkers-Under-Noise-and-Stress-Project

So, in this paper, we will propose a data summary tables, visualizations which make some comparisons by using different properties of participants, and a deep learning model which first train the model by using the experiment outcomes analysis dataset and then test the accuracy, so that we can understand how much use the collected data is. Visualizations will be provided by using both R and Python and their rich visualization tools libraries. These visualizations consist of comparisons between the participants who are working in a silent environment and noise environment. You may not see clearly some of the visualizations on Github.You can download and run yourself with the provided *.csv file.

rabia174/ConformaSight

rabia174/Computer-Graphics-with-WebGL---Sample-Projects

2D and 3D Transformations, Lighting, Texture Properties, and more...

rabia174/COVID-19_Detection_Desktop_Application_Software

It is a Python desktop application software which takes a chest x-ray image and then produces probabilities belong to each class with a Grad-CAM.

rabia174/COVID-19_In_Italy_Exploratory_Data_Analysis

This repository is created in order to analyze why COVID-19 spreading faster in North Italy when compared to other regions of Italy.

rabia174/Machine-Learning-From-Scratch-PDFs

Start from crash course of Python, continue with the Numpy, Matplotlib and Machine Learning with exercises. This pdfs are referenced and cited from the University of Helsinki, Finland Machine Learning Summer Course.

rabia174/Artificial-Intelligence-Tutorials

rabia174/awesome-automotive

A curated list of delightful and free automotive engineering resources, looking for contributors ❗

rabia174/awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

rabia174/Awesome-Image-Inpainting

A curated list of image inpainting and video inpainting papers and resources

rabia174/classix

Fast and explainable clustering in Python

rabia174/conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

rabia174/Coursera-Machine-Learning-Stanford

Machine learning-Stanford University

rabia174/CtCI-6th-Edition

Cracking the Coding Interview 6th Ed. Solutions

rabia174/datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

rabia174/datasingletest

rabia174/frabiayapicioglu.github.io

Personal website, portfolio, resume & projects.

rabia174/General-Advanced-Deep-Learning-Trainings

Contents, •Neural networks – Perceptron, Adaline, BP neural networks, unsupervised learning neural networks, RBF neural networks, etc. •Optimization methods – Genetic algorithms, swarm intelligence, etc. •Training deep neural networks – Parameter and structure tuning, etc. •Deep learning neural network models – Convolutional Neural Networks (CNN), autoencoders

rabia174/infographic

Infographic

rabia174/LLMs-from-scratch

Implementing a ChatGPT-like LLM from scratch, step by step

rabia174/Machine-Learning-Neural-Networks-Jupyter-Notebooks---UNIPD

Please do not copy and use my original work, consider that the University of Padova is using plagiarism detection algorithm for the similarity detection.

rabia174/PyALE

ALE Plots with python

rabia174/Random-forest-and-XGBoost-model-for-Binary-Black-Holes

The purpose of this study is to investigate if it is possible to anticipate the key outcomes of a BPS simulation given a set of initial variables using machine learning techniques.

rabia174/reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

rabia174/SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

rabia174/Software-Engineering-SWEBOK-PDFs

rabia174/som-anomaly-detector

Implementation of Kohonen SOM for anomaly detection purposes.

rabia174/Unblur-Images-using-CNN

PyTorch implementation of image deblurring using deep learning. Use a simple convolutional autoencoder neural network to deblur Gaussian blurred images.

rabia174/UsedVehicleSearch

Filter vehicles from Craigslist

rabia174/website-templates

150+ HTML5 Website Templates

rabia174/XAI

Papers and code of Explainable AI esp. w.r.t. Image classificiation