Akshlads's Projects
This repository is a collection of projects revolving around Computer Vision and Image Processing
Interfacing NVIDIA Jetson Nano (4 GB) with STM32 MP1 Micro-controller and Raspi Camera 5MP to perform Deep Learning and Computer Vision based tasks wheel odometry and IMU modeled with a noise term in each of the sensor
Turtlebot3 SLAM using wheel odometry and IMU modeled with a noise term in each of the sensor
state estimation for self-driving cars and implementation of A* and SLAM using Python3
Computer vision projects ranging from realtime facial recognition to motion detection system
Semantic segmentation on a Image dataset generated from CARLA
Custom Traffic Light Images Dataset from CARLA using RGB Camera
A customer support chatbot to answer the frequently asked questions of a company
Helper to remind me how to use different software tools
Implementation of pre-trained architectures ranging from LeNet-5 to Inception
Comparing and performing Image processing operations using pillow and opencv
Implementation of common interview questions, hackerrank questions, OOPS concepts, Finite State Machines and basic programs to get started with C++
The repository contains my assignment solutions and course project related to the course CS 539: Machine Learning at WPI.
This repository contains implementation of various data structures and sorting algorithms
Coding problem statement based on Deep Learning as part of my Internship
pre-trained architectures on large scale datasets for detection and classification
Repository for reading the Dex-Net 2.0 HDF5 database of 3D objects, parallel-jaw grasps, and robust grasp metrics
Duckietown Learning Experiences
This repository presents the implmentation of the OpenVINO toolkit designed by Intel for Deep Learning and Computer vision use cases
An implementation of our RA-L work 'Real-world Multi-object, Multi-grasp Detection'