Abhishek-EE
Machine Learning Compiler Engineer | Control | Robotics | Computational Intelligence | Compilers
GoogleBangalore, India
Pinned Repositories
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.
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.
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
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
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
Abhishek-EE's Repositories
Abhishek-EE/Monte-Carlo-Simulator
Monte Carlo Simulator for Bit Error Rate Estimation in Digital Communication
Abhishek-EE/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.
Abhishek-EE/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.
Abhishek-EE/Polynomial_Regression
A simple code to understand polynomial regression for curve fitting
Abhishek-EE/Wilting_Classification_Using_GMM
This was my Project for ECE 542
Abhishek-EE/BabySitting-Method-for-tuning-a-CNN-and-NN
Abhishek-EE/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.
Abhishek-EE/Coursera-Self_Driving_Cars_Specialization
This is my work for the Self driving cars specialization offered by University of Toronto on Coursera
Abhishek-EE/Multilayered_Perceptron
Implementation of Multilayered Perceptron
Abhishek-EE/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.
Abhishek-EE/Abhishek-EE
Abhishek-EE/abhishek-ee.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
Abhishek-EE/LeetCode-Solutions
Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub](https://github.com/QasimWani/LeetHub)
Abhishek-EE/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
Abhishek-EE/CarND-LaneLines-P1
Lane Finding Project for Self-Driving Car ND
Abhishek-EE/Cricket-Analysis
Repository to do cricket ananlysis on the existing cricsheet data
Abhishek-EE/cricsummary
Cricket analysis on cricsheet.org data
Abhishek-EE/General_Handouts
Abhishek-EE/Kaggle-Playground