Shrey (sdabhi23)

sdabhi23

Geek Repo

Company:DoctorC

Location:Bangalore

Home Page:shreydabhi.dev

Twitter:@sdabhi23

Github PK Tool:Github PK Tool


Organizations
NirmaUni

Shrey's repositories

bsedata

Python library for extracting real-time data from Bombay Stock Exchange (India)

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Twitter-Clone

Repository for the mock Twitter Android app

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q-cloud-programming

Implementations of a few programs which can run on simulators as well as actual quantum hardware written using libraries provided by major quantum software stack providers

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django-hasura-jwt-auth

A simple containerized JWT based auth server for integration with Hasura GraphQL Engine written in Python using Django and Django Rest Framework

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py-todo

A simple flask server and a command line client for todos

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cifar-10

Code for deployment of cifar-10 mobilenetv2 classifier on heroku free tier

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hadoop-k8s

Image to run hadoop pseudo distributed cluster

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rappel-ui

An idea management tool, inspired from kanban boards and integrated with GitHub

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awesome-mlops

A curated list of references for MLOps

bibtexgen

A simple cli tool to generate a list of references of any paper available on Semantic Scholar as a .bib file

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count-em-all

A simple app to count the number of people attending a gathering

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furo

A clean customizable documentation theme for Sphinx

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ibm-quantum-challenge-may-2020

My solutions for IBM Quantum Challenge held in May 2020

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monaco-json-viewer

A minimal JSON viewer extension built using open-source components!

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rappel

An idea management tool, inspired from kanban boards and integrated with GitHub

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SendGrid-Mailer

A starter project to deploy a mailing service for static sites using sendgrid and python

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web-design

A collection of html, css & js exercises completed as a part of coursework at ITNU

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streaming-data-pipeline

A streaming data pipeline leveraging managed services from AWS & the serverless architecture

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graphiql

GraphiQL & the GraphQL LSP Reference Ecosystem for building browser & IDE tools.

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kafka-data-pipeline

A streaming data pipeline uses Kafka as the backbone and Flink for data processing and transformations. Kafka Connect is used for writing the streams to S3 compatible blob stores and Redis (low latency KV store for real-time ML inference). Spark is used for the batch job to backfill the ml feature data.

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keep-actions-alive

Prevent scheduled GitHub Actions from becoming disabled after 60 days

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localstack

đź’» A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline

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portfolio-apis

The source code for the APIs being called from my personal website / portfolio website.

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