@@ -9,7 +9,7 @@ development.
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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
@@ -20,10 +20,10 @@ 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
@@ -69,7 +69,7 @@ The agreement can be found at
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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
@@ -97,7 +97,7 @@ recommend using `conda` to set up a base environment, and `pip` to install
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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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