Name: Shashibhushan Singh
Type: User
Company: pixom.ai
Bio: Cloud Engineer @Amazon
AWS Cloud Ambassador @Amazon | AWS Community Builder | AWS HoneyCode Ć-Test team member(Global Team-US)
Twitter: pixom_ai
Location: New Delhi, India
Blog: https://shashi-4853b.web.app/
Shashibhushan Singh's Projects
Lidar(Light Detection and Ranging) technology for self driving car and other 3D data Visualization using LIDAR.
Task 1 for the Learn how to work at a Y Combinator startup on InsideSherpa
For an introductory tutorial on how to use Jenkins to build a simple Java application with Maven.
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
SmartHotel360 Webiste
Spring security tutorials and examples
updated version of Tenserflow_lite image classify app with info regarding GPU ,CPU, Crops frames etc...
TensorFlow's Visualization Toolkit
An Open Source Machine Learning Framework for Everyone
Testing and Building android app to detect and classify object and speech via using Tensorflow lite ....for mobile & IOT devices.
This project is basically give by a intern Test4master we and our four members team basically working on it.
Programming exercises, code katas and puzzles for your job interview training - or just for fun.
This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.
Training Projects
A Python library for reading, validating, and writing transit schedule information in the GTFS format.
Uber Like Android App with PHP backend
Nanodegree project Bike sharing
Python data structure code practices on different problems.
It's basic machine Learning Code in Google Colab.
A visualization dashboard tool, including time-series scalable line charts, scatter-plot matrix, heatmap, parallel coordinates.
Visualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application