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Hi šŸ‘‹, I'm Shashibhushan Singh

Microsoft Certified AI Engineer & AWS Educate Cloud Ambassador

singh728om

  • šŸŒ± Iā€™m currently learning Machine Learning & Cloud

  • šŸ’¬ Ask me about Machine learning, Cloud & Cybersecurity

  • šŸ“« How to reach me [email protected]

  • āš” Fun fact Physics lover

android aws azure bash bootstrap c cassandra chartjs couchdb cplusplus css3 django docker dotnet electron firebase flask gcp git go hadoop hive html5 illustrator java jenkins kubernetes linux mariadb mongodb mysql nativescript nginx nodejs opencv oracle photoshop postgresql python pytorch react reactnative realm redis tensorflow

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Shashibhushan Singh's Projects

self-drivingcar icon self-drivingcar

Lidar(Light Detection and Ranging) technology for self driving car and other 3D data Visualization using LIDAR.

shiptivitas-1 icon shiptivitas-1

Task 1 for the Learn how to work at a Y Combinator startup on InsideSherpa

simple-java-maven-app icon simple-java-maven-app

For an introductory tutorial on how to use Jenkins to build a simple Java application with Maven.

slowfast icon slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

tenserflow_classify_app icon tenserflow_classify_app

updated version of Tenserflow_lite image classify app with info regarding GPU ,CPU, Crops frames etc...

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflowliteimage icon tensorflowliteimage

Testing and Building android app to detect and classify object and speech via using Tensorflow lite ....for mobile & IOT devices.

the-coding-interview icon the-coding-interview

Programming exercises, code katas and puzzles for your job interview training - or just for fun.

the-complete-faang-preparation icon the-complete-faang-preparation

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.

transitfeed icon transitfeed

A Python library for reading, validating, and writing transit schedule information in the GTFS format.

visualizing-lidar-data icon visualizing-lidar-data

Visualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application

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