HamidullahTurkmen

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

advent-of-code-2020

Solutions of the Advent of Code 2020, with Python.

AI-related-Resources

Selection of AI / ML / DS / DL / NLP / RL and ROS related resources.

Classification-of-specific-classes-of-cifar-100-dataset

How to classify by using of specific classes of cifar-100?

cs-sakaryauniversity

Sakarya Üniversitesi Bilgisayar Mühendisliği lisans eğitimim boyunca yapmış olduğum ödevler, projeler, ders notları ve çıkmış sınav soruları

Leetcode

🎓Leetcode solutions in Python 📚

notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

Seam-Carving-Algorithm-With-Python

Seam carving, also known as content-aware image resizing, is one of the methods for adjusting the image size such that the content of the image will be preserved. Image resizing is used to handle different resolutions between modules of various device screens and applications. It can also be used intentionally to corrupt or remove the original content of the image. Therefore, it is of great importance to detect external interference with the images.

Seam-Carving-Level-Detection-With-CNN

In this study, we made detection of seam carving applied to images, by using deep learning models, 2-dimensional convolutional neural networks (CNN - Convolutional Neural Network), and fully connected (FC - Fully Connected) commonly used in computer vision. The proposed model was developed as a multi-classifier with four outputs consisting of 0%, 10%, 20% and 40% seam carving classes. ImageNet which is an open source image data set is used in the training of created deep learning networks. In addition to the original images, training and testing data sets were obtained using images with reduced dimensions of 10%, 20% and 40% by seam carving in the vertical direction. The performance of the model has been scaled with the confusion matrix and the correct classification rate of the test sets. The accuracy analysis of the model was tested on the images, and the results and accuracy value were shown in detail with confusion, precision, f1-score and recall matrices. For more information: <a href="https://ieeexplore.ieee.org/abstract/document/9254845"><b>Click Here</b></a>

tensorflow-deep-learning

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

HamidullahTurkmen/Leetcode

🎓Leetcode solutions in Python 📚

HamidullahTurkmen/notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

HamidullahTurkmen/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

HamidullahTurkmen/advent-of-code-2020

Solutions of the Advent of Code 2020, with Python.

HamidullahTurkmen/Applied-Deep-Learning

Applied Deep Learning Course

HamidullahTurkmen/awesome-leetcode-resources

Awesome LeetCode resources to learn Data Structures and Algorithms and prepare for Coding Interviews.

HamidullahTurkmen/Awesome-Monocular-3D-detection

Awesome Monocular 3D detection

HamidullahTurkmen/awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

HamidullahTurkmen/cagatay_youtube

Çağatay Odabaşı YouTube kanalı Reposu - Tutoriallar

HamidullahTurkmen/computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

HamidullahTurkmen/cs-video-courses

List of Computer Science courses with video lectures.

HamidullahTurkmen/Dataset_labels

HamidullahTurkmen/DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

HamidullahTurkmen/DiffusionFastForward

course on diffusion generative models in a fast forward mode

HamidullahTurkmen/examples

TensorFlow examples

HamidullahTurkmen/GML2023

Graph Machine Learning course, Xavier Bresson, 2023

HamidullahTurkmen/handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

HamidullahTurkmen/learnopencv

Learn OpenCV : C++ and Python Examples

HamidullahTurkmen/Machine-Learning-Deep-Learning-Resources

HamidullahTurkmen/MadeWithML

Learn how to responsibly deliver value with ML.

HamidullahTurkmen/Materi-Training

Kumpulan Materi Training IoT/ Image Processing/ Robotics/ Computer Vision

HamidullahTurkmen/notebooks-1

Set of Jupyter Notebooks linked to Roboflow blog posts and used in our YouTube videos.

HamidullahTurkmen/PPE_detection

Real-time PPE detection based on YOLO. Open high-quality dataset.

HamidullahTurkmen/python-audio

Some Jupyter notebooks about audio signal processing with Python

HamidullahTurkmen/pytorch-Deep-Learning

Deep Learning (with PyTorch)

HamidullahTurkmen/pytorch-gan-collections

PyTorch implementation of DCGAN, WGAN-GP and SNGAN.

HamidullahTurkmen/Q

My attempt at researching Quantum Mechanics & Quantum Computing.

HamidullahTurkmen/SelfDrive

HamidullahTurkmen/Speaker-Classification-Test

A small project to test out whether is it the model or dataset causing miss prediection.

HamidullahTurkmen/TensorFlowProjects