A comprehensive collection of my work across various domains.
A step-by-step implementation of a neural network without any deep learning frameworks.
Source Code →Implementation of Vision Transformers (ViT) to explore transformer applications in CV.
Source Code →Hands-on coding of popular architectures like ResNet and AlexNet.
Source Code →A tiny, from-scratch automatic differentiation engine for deep learning fundamentals.
Source Code →LSTM-based model to identify misinformation by analyzing textual data.
Source Code →Predicting future prices using LSTM networks based on historical market trends.
Source Code →Detailed notes and code for learning DSA with C++ implementations.
Source Code →Simulates gravity-bound particles with collision physics in C++.
Source Code →Dynamics of colliding circles using momentum and velocity principles.
Source Code →Interactive visualization of BFS, DFS, A*, and Dijkstra solving mazes.
Source Code →Obstacle avoidance and path planning using Gazebo and ROS 2 Humble.
Source Code →Velocity command navigation in Gazebo simulation via geometry_msgs/Twist.
Source Code →Simulating metal deformation using LAMMPS and post-processing via OVITO Python API.
Source Code →Machine learning to predict match outcomes and analyze player performance.
Source Code →