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Monte_Carlo_Simulator
Monte Carlo Simulator for Bit Error Rate Estimation in Digital CommunicationText-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 542Polynomial_Regression
A simple code to understand polynomial regression for curve fittingFace_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
Path-Planning-Simulator
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 Harrisโ Non-Max Suppression and encircled the Blobs.XMLBuilder
Multilayered_Perceptron
Implementation of Multilayered Perceptrondual_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.Love Open Source and this site? Check out how you can help us