Muhammad Ammar's repositories
x86-Assembly
Explore the realm of low-level programming with this TASM (Turbo Assembler) project in the DOSBox environment. This project delves into various essential assembly language tasks, including string and word counting, merging arrays, and summing arrays, both in signed and unsigned formats. Additionally, it demonstrates the use of stacks for efficient
Nevilles_Algorithm
This project showcases the implementation of Neville's Algorithm, a numerical technique used for polynomial interpolation. The algorithm provides an efficient way to approximate a polynomial that passes through a given set of data points. With this implementation, you can easily perform polynomial interpolation, making it a valuable tool for variou
Dinochromegame_forcasting_model
I made an AI involving Actor-Critic RL to forecast binary actions in a sequence (like Dino Chrome game). PyTorch was utilized to assemble and trian the model, accomplishing over 0.98 accuracy. True and predicted values were saved in a CSV file.
Mini_Checkers_Game
MINI-Checkers is an exciting game project that includes an AI opponent powered by Minimax with Alpha-Beta Pruning and Breadth-First Search algorithms. Challenge yourself with this classic strategy game and experience the thrill of competing against a smart AI adversary. Test your skills, plan your moves, and enjoy hours of fun as you engage in tact
MIPS-Assembly-Language
Explore MIPS Assembly with essential arithmetic scripts, including addition, subtraction, division, power calculation, factorial computation, and a unique backward addition algorithm
ODE_Models
This project features two dynamic simulations: bungee jumping and atmospheric convection models, using Runge-Kutta methods to capture their behavior. Dive into chaotic Lorenz attractor visuals, track variable evolution via time series charts, and compare cord lengths between these intriguing simulations. Explore dynamic modeling and chaotic systems
Time_Series_Analysis
Discover correlations between daily website traffic and Delhi's climate through predictive LSTM modeling. Unveil insights driving user engagement amidst changing weather using advanced data visualization. Optimize strategies by understanding the impact of climate fluctuations on online behavior. This repository offers precise analyses merging data.
Tire-Texture-Classifier
Explore the implementation of CNN algorithm on the tires dataset to check how it recognises and classifies the texture of tires based on its condition in 2 classes