Abhishek-EE/Path-Planning-Simulator

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Created 12 months ago
Updated 9 months ago

Abhishek-EE/Path-Planning-Simulator

Abhishek-EE

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Monte_Carlo_Simulator

Monte Carlo Simulator for Bit Error Rate Estimation in Digital Communication

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

Jupyter Notebook

Polynomial_Regression

A simple code to understand polynomial regression for curve fitting

Jupyter Notebook

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.

led_server

BabySitting-Method-for-tuning-a-CNN-and-NN

Jupyter Notebook

Coursera-Self_Driving_Cars_Specialization

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

Jupyter Notebook

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.

XMLBuilder

Multilayered_Perceptron

Implementation of Multilayered Perceptron

dual_lidar_3d_builder

sensor_integration_suite

Deep-Learning-Learning-LIbrary

As someone who very much stumbled into roles rather than carve his own path, I wanted to create a structured approach for my self and others like me so that if they want to pursue deep learning they have a path available. It is very much a selfish work because through this I hope to figure out the gaps in my own understanding of the concept and fill them as need be.