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