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Updated CONTRIBUTING.md (Fixes issue #2153) (#2156)
* Added ROADMAP.md * Updated CONTRIBUTION.md to point to the roadmap issue #1836
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CONTRIBUTING.md

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Before contributing code, please review our [Style Guide](STYLE_GUIDE.md) and
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[API Design Guide](API_DESIGN_GUIDE.md).
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Our [Roadmap](ROADMAP.md) contains an overview of the project goals and our
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Our [Roadmap](https://github.com/keras-team/keras-hub/issues/1836) contains an overview of the project goals and our
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current focus areas.
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We follow
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The fastest way to contribute it to find open issues that need an assignee. We
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maintain two lists of github tags for contributors:
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- [good first issue](https://github.com/keras-team/keras-hub/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22):
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a list of small, well defined issues for newcomers to the project.
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- [contributions welcome](https://github.com/keras-team/keras-hub/issues?q=is%3Aissue+is%3Aopen+label%3A%22contributions+welcome%22):
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a larger list of issues that may range in complexity.
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- [good first issue](https://github.com/keras-team/keras-hub/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22):
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a list of small, well defined issues for newcomers to the project.
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- [contributions welcome](https://github.com/keras-team/keras-hub/issues?q=is%3Aissue+is%3Aopen+label%3A%22contributions+welcome%22):
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a larger list of issues that may range in complexity.
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If you would like propose a new symbol or feature, please first review our
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design guide and roadmap linked above, and open an issue to discuss. If you have
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### Step 5. Code review
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CI tests will automatically be run directly on your pull request. Their
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CI tests will automatically be run directly on your pull request. Their
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status will be reported back via GitHub actions.
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There may be several rounds of comments and code changes before the pull
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python packages from PyPI. The exact method will depend on your OS.
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**Note**: Be careful not to use mix pre-packaged tensorflow and jax libraries in
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`conda` with PyPI packages from `pip`. We recommend pulling *all* KerasHub
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`conda` with PyPI packages from `pip`. We recommend pulling _all_ KerasHub
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dependencies via `pip` as described below.
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### Linux (recommended)

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