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kdep icon kdep

A wrapper around Helm that simplifies chart configuration and provisions secrets from Vault on the fly.

keda-introduction icon keda-introduction

This repository contains a basic example of deploying KEDA to a local kubernetes.

keyper icon keyper

A Python wrapper around the macOS keychain. A keyper of the keys, if you will.

keyprotect-go icon keyprotect-go

Golang client library for IBM keyprotect generated from the keyprotect openapi spec using openapi-generator

kg-goal-oriented-dialog icon kg-goal-oriented-dialog

This code is written in Python and implements a goal-oriented dialog system which takes as input a conversation history as well as the underlying database, and predicts the best next utterance.

kgrid icon kgrid

A grid control with responsive UI

kinect-ripple icon kinect-ripple

Kinect Ripple is a dual projection based infotainment system that comes with fully customizable interactive floor and screen. Kinect Ripple simple UI framework allows you to quickly add, edit and build integrated experiences on top of it.

knack icon knack

Knack - A Python command line interface framework

knockout-validation icon knockout-validation

this library takes error messages, and validation errors and augments a knockout model with helpers to access them

knowledge-enabled-textual-entailment icon knowledge-enabled-textual-entailment

Natural Language Inference is fundamental to many Natural Language Processing applications such as semantic search and question answering. The task of NLI has gained significant attention in the recent times due to the release of fairly large scale, challenging datasets. Present approaches that address NLI are largely focused on learning based on the given text in order to classify whether the given premise entails, contradicts, or is neutral to the given hypothesis. On the other hand, techniques for Inference, as a central topic in artificial intelligence, has had knowledge bases playing an important role, in particular for formal reasoning tasks. While, there are many open knowledge bases that comprise of various types of information, their use for natural language inference has not been well explored. In this work, we present a simple technique that can harnesses knowledge bases, provided in the form of a graph, for natural language inference.

komodo icon komodo

Formally-verified reference monitor for a secure isolated execution ("enclave") environment on ARM TrustZone

kone icon kone

Build and deploy Node.js application on Kubernetes

krabsetw icon krabsetw

KrabsETW provides a modern C++ wrapper and a .NET wrapper around the low-level ETW trace consumption functions.

kube-mpi icon kube-mpi

High performance computing (HPC) depends on the distributed parallel programming API called the Message Passing Interface (MPI). Cloud native technologies depend on fault tolerance and resiliency normally associated with stateless applications. HPC applications are generally stateful and hence supporting programming models such as MPI have not been made available in public or private clouds that are enabled with Docker and/or Kubernetes. Kube-mpi is a prototype that provides high performance computing developers of simulation, distributed deep learning, and analytics applications a mechanism for building and deploying their applications in container orchestrations services such as kubernetes and IBM's IBM Cloud private.

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