emirhanbilgic

Deepfake_Detection

The project focuses on comparing various methods for detecting deepfakes and evaluating their effectiveness across different datasets. Also tries zero-shot BLIP to detect manipulations.

brain_tumour_segmentation

This repository contains the implementation of various techniques to segment brain tumors from MRI images.

Emirhans_Method_Deepfake

BLIP is a VLP (Vision-Language Pre-training) framework that excels in both vision-language understanding and generation tasks using a multimodal mixture of encoder-decoder model and a novel captioning and filtering method for handling noisy data. In this project, we will try to use BLIP in deepfake detection

sorting_algorithms

This repository includes different sorting algorithms. The purpose is to show different approaches.

contrastive_predictive_coding

euler-solutions

This repository was created to show different solutions to Project Euler problems with different approaches.

next-frame-prediction

This project aims to make image data contribute to temporality. In addition to 3D CNN structure, ConvLSTM2D, PredRNN, the combination of 2D CNN and Tabular data has been tested and compiled in this repo. Cloudiness prediction using satellite data of EUMETSAT is aimed.

ai-generated-detection

AI_Slides_SIMMAG

Includes a compilation slide on generative models and transformer models such as chatGPT.

Alzheimer-s-Detection

This repository contains code for detecting Alzheimer's patients from linguistic cues.

basic_diffusion_model

C-building_blocks

chatbot_data

cog-realvisxl

cog-realvisxl-v2.0

Attempt at cog wrapper for SG161222/RealVisXL_V2.0

cog-sdxl

Stable Diffusion XL training and inference as a cog model

DCGAN-DALLE

Implementation of a DCGAN from scratch for image generation, benchmarked against DALL-E with multilingual support through Google Translate API integration.

Electronics_and_Communication_Engineering_ITU

Here you can find the documents, assignments, projects and questions of the courses I enrolled.

flexible_neural_nets

This project implements a multi-layer neural network from scratch, using only fundamental Python libraries such as NumPy. The architecture is designed with flexibility in mind, allowing users to easily adjust the number of layers and neurons within those layers.

gpt-3.5-turbo_data_augmentation

Data Augmentation Code with gpt-3.5-turbo model

python-building_blocks

pytorch-learn-reinforcement-learning

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

Reinforcement_Learning

ResNet-50_basic_struct

ResNet50 is a convolutional neural network that is 50 layers deep, and is a variant from the ResNet (Residual Network) family.

reward_function_trials

searching_algorithms

SolvingImbalancedClasses-FinalThesis

Final Thesis on Solving Imbalanced Classes Problem

tree_algorithms

This repository has some staple tree algorithm problems.