F.R.yapicioglu's repositories
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.
Computer-Graphics-with-WebGL---Sample-Projects
2D and 3D Transformations, Lighting, Texture Properties, and more...
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.
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.
awesome-automotive
A curated list of delightful and free automotive engineering resources, looking for contributors ❗
awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Awesome-Image-Inpainting
A curated list of image inpainting and video inpainting papers and resources
classix
Fast and explainable clustering in Python
conformal-prediction
Lightweight, useful implementation of conformal prediction on real data.
Coursera-Machine-Learning-Stanford
Machine learning-Stanford University
CtCI-6th-Edition
Cracking the Coding Interview 6th Ed. Solutions
datasciencecoursera
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
frabiayapicioglu.github.io
Personal website, portfolio, resume & projects.
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
infographic
Infographic
LLMs-from-scratch
Implementing a ChatGPT-like LLM from scratch, step by step
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.
PyALE
ALE Plots with python
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.
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
som-anomaly-detector
Implementation of Kohonen SOM for anomaly detection purposes.
Unblur-Images-using-CNN
PyTorch implementation of image deblurring using deep learning. Use a simple convolutional autoencoder neural network to deblur Gaussian blurred images.
UsedVehicleSearch
Filter vehicles from Craigslist
website-templates
150+ HTML5 Website Templates
XAI
Papers and code of Explainable AI esp. w.r.t. Image classificiation