ArunkumarRamanan

tensorflow

Computation using data flow graphs for scalable machine learning

arunkumarramanan.github.io

Online Portfolio of Arunkumar Venkataramanan

Audio-Recognition

Cloud-Analytics-Platform

Demand-Prediction

Ecommerce-Platform

Enterprise-SaaS-Platform

FinTech-App

Marketplace-App

Mobile-Web-Social-App

NextGen-AI-Platform

Next-Gen AI Platform Product project

Smart-Home-Assistant

atom

:atom: The hackable text editor

COVID-19-CaseStudy-and-Predictions

This repository is a case study, analysis and visualization of COVID-19 Pandemic spread along with prediction models.

COVID-19-Diagnostics

enterpriseready

A guide to creating or enhancing a SaaS product with common features that will enable more adoption by enterprise customers.

innersource

katacoda-scenarios

Katacoda Scenarios

kubeflow-pipeline-fantasy

Tutorials, Examples about Kubeflow Pipeline.

MagiskOnWSA

Integrate Magisk root and Google Apps (OpenGApps) into WSA (Windows Subsystem for Android)

MagiskOnWSALocal

ml-interviews-book

https://huyenchip.com/ml-interviews-book/

mlops_fantacy

MLOpsPython

MLOps using Azure ML Services and Azure DevOps

NeMo

Neural Modules: a toolkit for conversational AI

pdf.js

PDF Reader in JavaScript

product-line-prediction

Created for toolchain: https://cloud.ibm.com/devops/toolchains/ad62f604-8ddc-4112-9bb1-5c6f297f8d52?env_id=ibm%3Ayp%3Ajp-tok

Production-Level-Deep-Learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

Temp