nurgulayten's starred repositories
DQN_SnakeGame
Training a Deep Q Learning Network to play the classic game Snake. Utilized JavaScript to design the game, Python and Selenium for agent interactions, and leveraged Pytorch for efficient training.
learning_control
parental control, the child must earn access by solving cards and completing tasks
image-classification
Multi Class Image Classification Problem
Image-Classification-Flowers
Classification of flowers , by finetuning Resnets and Inception models also image augmentation and random image erasing
Dalle-Mini-Bot
This Bot is interface for craiyon.com (dalle-mini)
stable-diffusion-aesthetic-gradients
Personalization for Stable Diffusion via Aesthetic Gradients 🎨
cog-face-to-many
Turn any face into a video game character, pixel art, claymation, 3D or toy
Amazon_Vine_Analysis
Analysis of the reviews are utilize Google Colaboratory Notebook to perform ETL, connect to an AWS RDS instance and load the transformed data into pgAdmin.
ReNoise-Inversion
Officail Implementation for "ReNoise: Real Image Inversion Through Iterative Noising"
Big-Data-Specialization-Coursera
Repository for the Big Data Specialization from University of California San Diego on Coursera
Snake-Reinforcement-Deep-Q-Learning
Play Snake Game with Deep Q-Network(DQN)
AI-Rules-Pygame
Experiment with different RL algorithms to play my custom flappy-bird Game
snake_research
Testing different RL algorithms on classic Snake game
Deep-Reinforcement-Learning-Algorithms
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
blackjack-dqn
Project code for my seminar paper
PPO-and-A2C-for-HULH-poker
My MSc project on applying, tuning and modifying the PPO and A2C algorithms to Pettingzoo MARL library two player poker game
witches_ai
A simple card game that is played by multiple ai(DQN, PPO) agents.
simple-card-game-dqn-tensorflow
DQN / Double-DQN using tensorflow
Valued-based-and-policy-based-RL
DQN on Atari game & PPO, SAC and DDPG on MuJoCo game