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rudrakj's Projects

advice icon advice

A repository of links with advice related to grad school applications, research, phd etc

anki icon anki

Anki for desktop computers

botkube icon botkube

An app that helps you monitor your Kubernetes cluster, debug critical deployments & gives recommendations for standard practices

bpmn-js icon bpmn-js

A BPMN 2.0 rendering toolkit and web modeler.

camunda-bpm-platform icon camunda-bpm-platform

Flexible framework for workflow and decision automation with BPMN and DMN. Integration with Spring, Spring Boot, CDI.

d-leet icon d-leet

A one-stop DApp for all things Fleet. Monitor fleet and asset activity, Track their location and Manage OEM, HOS and ELD compliances.

data-science icon data-science

Collection of useful data science topics along with code and articles

dwitter icon dwitter

An open sourced alternative to Twitter built on Ethereum Virtual Machine(EVM), inclusive of Binance Integrations, and supportive of Solidity smart contracts. Inbuilt sentiment analysis for minimizing outrages and cancel cultures. Additionally, free from Feed-censorship and totally community driven.

dx-scanner icon dx-scanner

CLI tool that allows you to measure quality of a team work and an app based on your source code.

fission icon fission

Fast and Simple Serverless Functions for Kubernetes

git-auto-deploy icon git-auto-deploy

Deploy your GitHub, GitLab or Bitbucket projects automatically on Git push events or webhooks using this small HTTP server written in Python. Continuous deployment in it's most simple form.

kitsu icon kitsu

Web application to manage your Animation Production

lakefs icon lakefs

An open source platform that delivers resilience and manageability to object-storage based data lakes

microsoft-rocketbox icon microsoft-rocketbox

Microsoft Rocketbox is now available for research and academic use! The library of 115 rigged avatars offers flexibility, enabling the easy use of facial animations across characters and the mixing and matching of texture elements.

neural-network-from-scratch-in-tensorflow icon neural-network-from-scratch-in-tensorflow

Welcome to Neural Network from Scratch in TensorFlow! In this 2-hours long project-based course, you will learn how to implement a Neural Network model in TensorFlow using its core functionality (i.e. without the help of a high level API like Keras). You will also implement the gradient descent algorithm with the help of TensorFlow's automatic differentiation. While it’s easier to get started with TensorFlow with the Keras API, it’s still worth understanding how a slightly lower level implementation might work in tensorflow, and this project will give you a great starting point for the same.

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