murali2020kris Goto Github PK

3d-bin-container-packing

A variant of the Largest Area Fit First (LAFF) algorithm + brute force algorithm

algorithms-and-coding-interviews

Open source content from a book in progress, Hands-on Algorithmic Problem Solving

awesome-serverless

:cloud: A curated list of awesome services, solutions and resources for serverless / nobackend applications.

awesome-status-pages

Awesome list of status page open source software, services and public status pages of major internet companies

azureusageandbillingportal

This web application solution enables you to monitor the usage and billing for any Azure subscriptions you have access to.

billing-dotnet-ratecard-api

A simple console app that calls the Azure Billing RateCard REST API to retrieve the list of resources per Azure offer in a given subscription, along with the pricing details for each resource. The Microsoft Azure Billing APIs enable integration of Azure Billing information into your applications, providing new insights into your consumption of Azure resources, allowing you to accurately predict and manage your Azure resource consumption costs.

blackeye-im

This project is now discontinued. Kindly use other working alternatives.

boo

Simple command line client for OneOps.

boxpacking

R package for solving three-dimensional bin packing problem

capital-one-data-challenge

NYC Taxi Data Challenge - Data Scientist

circuit-oneops-1

cloud-custodian

Rules engine for cloud security, cost optimization, and governance, DSL in yaml for policies to query, filter, and take actions on resources

cryptofees

An easy way to compare Bitcoin and Ether transaction fees

deeplearning

devopskit

drawio-diagrams

Diagrams for draw.io

drl_binpacking

3D bin packing is a classical and challenging combinatorial optimization problem in logistics and production systems. An effective bin packing algorithm means the reduction of total packing cost and increase in utilization of resources. Because the cost of packing materials, which is mainly determined by their surface area, occupies the most part of packing cost, and in many real business scenarios there is no bin with fixed size, so AI Department of Cainiao proposed a new type of 3D bin packing problem. The objective of this new type of 3D bin packing problem is to pack all items into a bin with minimized surface area. And a DRL method based on the sequence-to-sequence model is proposed to solve the problem. This is the research paper link: https://arxiv.org/abs/1708.05930. Source code of this method can be found in the project.

gpt4free

decentralising the Ai Industry, just some language model api's...

gs-rest-service

Building a RESTful Web Service :: Learn how to create a RESTful web service with Spring. :: spring-boot

hci_notes

Notes for Human Computer Interaction course - CS6750

helloworld

Test jenkins deployment to Azure

hni

hubotjira

jira integration for hubot

hygieia

CapitalOne DevOps Dashboard

maven-jenkins-ci-demo

mnist-tensorboard-embeddings

Initial commit. Tensorboard running with embeddings to utilise t-SNE

oneops

Main repository for collecting issues and backlog related to the product.

oneops-1

OneOps main codebase

oneops-build-converter

oneops.github.io

OneOps website source code