mhknb

efficient-kan

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

pykan

Kolmogorov Arnold Networks

Statistic_for_data_inference

Strateji_deseni_ornek

Strateji tasarım deseni ornegi

ytm

mhknb

Config files for my GitHub profile.

Generating-Synthetic-Data-using-GANs

Generating Tabular Synthetic Data using State of the Art GAN architecture

tableGAN

tableGAN is a synthetic data generation technique (Data Synthesis based on Generative Adversarial Networks paper) based on Generative Adversarial Network architecture (DCGAN).

Brain-Tumor-MRI-Segmentation-using-PSO-and-WOA

The project aims at comparing results achieved by Particle Swarm Optimization (PSO) and Whale Optimization Algorithm (WOA) in segmentation of MRIs of Brain Tumor. The above mentioned algorithms are used for segmenting each MRIs in three clusters Skull, White matter and Tumor. SVM was used to train the dataset.