• Stars
    star
    1
  • Language
  • Created over 2 years ago
  • Updated over 2 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

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.

More Repositories

1

Monte_Carlo_Simulator

Monte Carlo Simulator for Bit Error Rate Estimation in Digital Communication
MATLAB
9
star
2

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.
HTML
4
star
3

Wilting_Classification_Using_GMM

This was my Project for ECE 542
Jupyter Notebook
2
star
4

Polynomial_Regression

A simple code to understand polynomial regression for curve fitting
Jupyter Notebook
2
star
5

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.
Python
2
star
6

led_server

Python
1
star
7

Path-Planning-Simulator

C++
1
star
8

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

Jupyter Notebook
1
star
9

Coursera-Self_Driving_Cars_Specialization

This is my work for the Self driving cars specialization offered by University of Toronto on Coursera
Jupyter Notebook
1
star
10

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.
MATLAB
1
star
11

XMLBuilder

C++
1
star
12

Multilayered_Perceptron

Implementation of Multilayered Perceptron
Python
1
star
13

dual_lidar_3d_builder

Python
1
star
14

sensor_integration_suite

C++
1
star