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abhishek-ee

abhishek-ee.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

babysitting-method-for-tuning-a-cnn-and-nn

blob_detector

This is the code from my ECE-558, Digital Imaging Systems, Final Project. Here I have implemented Blob Detection for images using Laplacian of Gaussian by creating a Laplacian Scale space via varying image size which helped increase the speed. After that I have performed Harris’ Non-Max Suppression and encircled the Blobs.

carnd-lanelines-p1

Lane Finding Project for Self-Driving Car ND

coursera-self_driving_cars_specialization

This is my work for the Self driving cars specialization offered by University of Toronto on Coursera

cricket-analysis

Repository to do cricket ananlysis on the existing cricsheet data

cricsummary

Cricket analysis on cricsheet.org data

drone_bringup

face_recognition

Compared the performance of Gaussian model, Mixture of Gaussian model, t-distribution, Mixture of t-distribution, Factor Analysis and Mixture of Factor Analyzer on the task of facial recognition under the Generative modeling scheme.

general_handouts

kaggle-playground

leetcode-solutions

Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub](https://github.com/QasimWani/LeetHub)

monte-carlo-simulator

Monte Carlo Simulator for Bit Error Rate Estimation in Digital Communication

multilayered_perceptron

Implementation of Multilayered Perceptron

path-planning-simulator

This project simulates pathfinding for a Roomba-like robot in a pre-mapped environment. The environment is represented by an occupancy grid where each cell indicates the presence of an obstacle or free space. The program calculates a collision-free path from a starting position to a goal position.

playing-with-pointcloud

The project includes functionality for detecting planes in point clouds, reorienting these planes, and smoothing the point clouds using Poisson surface reconstruction. It aims to provide a comprehensive set of tools for point cloud manipulation and analysis

polynomial_regression

A simple code to understand polynomial regression for curve fitting

sensor_integration_suite

text-similarity-score-generator

This is a Text Similarity Score Generator. It takes in two different texts and compares how similar they are. To calculate the similarity score I am using Vector Space Model. This model creates a vector Space where each dimension represents a single word. Words are taken from all the texts that are considered. One document is a single vector space. Each dimension of a single document vector represents how often this word appears in the text.To compare two documents a cosine similarity is used. This generates a value between 0 and 1, 0 meaning no similarity and 1 meaning perfect match.

wilting_classification_using_gmm

This was my Project for ECE 542