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advanced_computer_vision_tensorflow

Contains notebooks which implement practical aspects of computer vision such as object detection and segmentation in tensorflow.

bit_manipulation

Implemented problems related to Bit Manipulation present in Crack the Coding Interview book. The language used is C++.

cnn-image-classification

contour-detection

Implementation of the Pavlidis algorithm to detect contours from scratch.

corner-detection-

Detection of corners in an image without using opencv functions from scratch

cutler

Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation" and "VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation"

data-version-control

deep_learning_specialization

distributed-shared-memory

dvc-tutorial

gan_mnist

gazebo

Gazebo Simulation which includes environment constructed by building editor and custom robot designed using model editor

google_cloud_platform

Coursera specialization which was an introduction to the Cloud Computing domain for me. The specialization dealt with GCP, managing nodes and clusters using IAM on GCP and a basic project depicting the working of the CI/CD pipeline in GCP

image-stitching

kalman-filters

C++ Simulation code for 1-D and 2-D Kalman Filters

leetcode

linked_list

Implemented problems related to the Linked List Data structure present in Crack the Coding Interview book. The language used is C++.

linux-kernel-data-structures

monte-carlo-localization

Simulation for the Monte Carlo Localization algorithm in C++

multi_head_attemtopm_transformers

predictive-maintenance-and-monitoring-of-automobiles-and-detection-of-driving-patterns

The repository has trained neural networks models to detect driver state activity inside a moving car. Also, the fisher-face model is implemented to recognize facial emotion. A separate machine learning models also predicts vehicle maintenance requirement based on Engine Control Unit data.

recursion

Implemented basic problems related to Recursion present in Crack the Coding Interview book. The language used is C++.

resume

ros-pub-sub-and-services

Simulated Gazebo environment which implements ROS Publishers, Subscribers, Client and Service.

ros_snap

searching

Implemented the Binary Search, Interpolation and Jump Search algorithms in C++

secured_distributed_shared_memory

This project creates a shared memory region between 2 applications using the MSI protocol. The data transferred between these regions and the status of the pages in the shared memory region are updated using the TCP/IP protocol. This project provides more security by validating the data sent between the applications using hashing and page signature verification. Also, TCP/IP attacks are demonstrated here as well.

self-driving-car

Fine tuned a deep learning model architecture using the pre-trained RESNET architecture to train a self-driving car to navigate itself in an unknown environment. The model maps input camera image data to steering commands.

slam-with-known-poses

Occupancy Grid Mapping algorithm for obtaining 2-D map of environment given sonar measurements and poses

sorting

Implemented the Bubble sort, Merge sort, Quick and Selection sort algorithms in C++