Elif Meşeci's repositories
classification-with-transfer-learning-methods
This repo covers the application of transfer learning methods using pre-trained networks.
Installation-MaskRCNN
Step by step installation on Anaconda Prompt
link-prediction-on-complex-networks
Using neighborhood-based link prediction methods to predict new links that will occur in networks created from darts championship competitions
an-enhanced-tooth-segmentation-in-bitewing-radiographs
This study was published in 2022 in a scientific journal with SCI-Expanded index. The tooth numbering module uses the FDI notation, which is widely used by dentists, to classify and number dental items found as a result of segmentation. The performance of the Mask R–CNN method used has been proven by comparing it with other state-of-the-art methods.
complex-networks-analyzing
Link prediction in complex networks on PDC World Championship Dataset
deploying-machine-learning-models
Code for the online course "Deployment of Machine Learning Models"
faster-r-cnn-tensorflow-api-custom
Faster R-CNN with Tensorflow API for Custom Dataset.
mask-rcnn-implementation-with-custom-dataset
Implementation of Mask R-CNN architecture, one of the object recognition architectures, on a custom dataset.
python-examples
Functions, Loops, Calculations...
satellite-image-classification-pytorch
Image classification on Satellite Dataset-RSI-CB256 with torchvision models.
tooth-detection-and-numbering-in-panoramic-radiographs
The tooth numbering module classifies and numbering dental objects detected as a result of segmentation according to the FDI notation used universally by dentists.