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CONTRIBUTING.md
--> Contributing to Apache Maven ====================== You have found a bug or you have an idea for a cool new feature? Contributing code is a great way to give something back to the open source community. Before you dig right into the code, there are a few guidelines that we need contributors to follow so that we can have a chance of keeping on top of things. Some of the ideas are documented in the [Maven Wiki][maven-wiki]
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CONTRIBUTING.md
Thank you for your interest in contributing to Gradle! This guide explains how to contribute to the core Gradle components, extensions and documentation located in this repository. For other extensions and components, see the [Gradle Community Resources](https://gradle.org/resources/). This guide will help you to... * maximize the chance of your changes being accepted * work on the Gradle code base * get help if you encounter trouble
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CONTRIBUTING.md
# Contribution guidelines So you want to hack on Istio? Yay! Please refer to Istio's overall [contribution guidelines](https://github.com/istio/community/blob/master/CONTRIBUTING.md)
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CONTRIBUTING.md
The [Kubernetes community repo](https://github.com/kubernetes/community) contains information about how to get started, how the community organizes, and more. ## Sign the CLA
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CONTRIBUTING.md
# MinIO Contribution Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io) [![Docker Pulls](https://img.shields.io/docker/pulls/minio/minio.svg?maxAge=604800)](https://hub.docker.com/r/minio/minio/) ``MinIO`` community welcomes your contribution. To make the process as seamless as possible, we recommend you read this contribution guide. ## Development Workflow
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CONTRIBUTING.md
non-backward-compatible API changes without a major release. Reviewers of your pull request will comment on any API compatibility issues [following API review practices](https://github.com/tensorflow/community/blob/master/governance/api-reviews.md). * When you contribute a new feature to TensorFlow, the maintenance burden is (by default) transferred to the TensorFlow team. This means that the benefit
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