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Reducing-noise-on-data
Reduced noise of noisy signals (with a proper desnoising rate) using Least Squares implemented in Python, Matplotlib and Numpy.Pacman-multiAgent
The phase 2 of my AI project, which is adversarial search in Pacman game for reaching the best utility and avoiding ghosts. Minimax with alpha-beta pruning and Expectimax is implemented.Pacman-ReinforcementLearning
The phase 3 of my AI project, which is implementing model-based and model-free reinforcement learning algorithms, applied to the AIMA textbook's Gridworld, Pacman, and a simulated crawling robot.Pacman-AI-Project
This is phase 1 of my AI project. By using different search algorithms ( DFS, BFS, UCS, A*), I tried to make Pacman do better in eating all the nodes and be alive.Smart-Home-Management-System
This is my final project in the Logical Circuits course. In this project we designed a Smart Home Management System.Dining-philosophers
The dining philosophers problem is a classic synchronization problem which is used to evaluate situations where there is a need of allocating multiple resources to multiple processes.EvolutionaryGame
Neuroevolutionary game.XV6
XV6 project for operating system course. We had to add some system calls and add the thread features to the xv6 operating system.Reducing-BMP-images
Reduced the size of .bmp images (up to 85%) using SVD implemented in Python, Matplotlib and Numpy.Heart-disease-diagnosis-system
Fuzzy expert system for heart disease diagnosisCompiler-Design
Custom Compiler Design project implementing lexing, parsing, and translation from a proprietary language to intermediate C code using PLY and PythonImage-Classification-Deep-Learning
Explore deep learning-powered image classification with PyTorch. Achieved 98% accuracy on Natural Images and 95% on Birds Species using AlexNet and EfficientNet-B1. Dive into the code and results!Love Open Source and this site? Check out how you can help us