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Rajesh-IBM-Power's Projects

abyss icon abyss

:microscope: Assemble large genomes using short reads

airflow icon airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

allennlp icon allennlp

An open-source NLP research library, built on PyTorch.

almond icon almond

A minimal AMD API implementation for use after optimized builds

antlr3 icon antlr3

antlr v3 repository (pulled from p4 with history from //depot/code/antlr/antlr3-main

apisonator icon apisonator

Red Hat 3scale API Management Apisonator backend

argo icon argo

Argo Workflows: Get stuff done with Kubernetes.

argo-cd icon argo-cd

Declarative continuous deployment for Kubernetes.

backbone.validation icon backbone.validation

A validation plugin for Backbone.js that validates both your model as well as form input

build-scripts icon build-scripts

Build scripts for open source projects on Linux on POWER LE

che icon che

The Kubernetes-Native IDE for Developer Teams

chectl icon chectl

CLI to manage Eclipse Che server and workspaces

chromium icon chromium

The official GitHub mirror of the Chromium source

clearnlp icon clearnlp

Fast and robust NLP components implemented in Java.

client icon client

Knative developer experience, docs, reference Knative CLI implementation

client_java icon client_java

Prometheus instrumentation library for JVM applications

cloud-builders icon cloud-builders

Builder images and examples commonly used for Google Cloud Build

clustergenomics icon clustergenomics

:exclamation: This is a read-only mirror of the CRAN R package repository. clusterGenomics — Identifying clusters in genomics data by recursive partitioning

common icon common

Common APIs and libraries shared by other Kubeflow operator repositories.

config icon config

configuration library for JVM languages using HOCON files

crossplane icon crossplane

Manage any infrastructure your applications need directly from Kubernetes

cruise-control icon cruise-control

Cruise-control is the first of its kind to fully automate the dynamic workload rebalance and self-healing of a Kafka cluster. It provides great value to Kafka users by simplifying the operation of Kafka clusters.

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