Add Addons page

docs/guide/addons.md

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+# Community-developed components, examples, and tools for TFX
+
+Developers helping developers. TFX-Addons is a collection of community
+projects to build new components, examples, libraries, and tools for TFX.
+The projects are organized under the auspices of the special interest group,
+SIG TFX-Addons.
+
+[Join the community and share your work with the world!](http://goo.gle/tfx-addons-group)
+
+---
+
+TFX-Addons is available on PyPI for all OS. To install the latest version, run:
+
+```shell
+pip install tfx-addons
+```
+
+You can then use TFX-Addons like this:
+
+```python
+from tfx import v1 as tfx
+import tfx_addons as tfxa
+
+# Then you can easily load projects tfxa.{project_name}. For example:
+tfxa.feast_examplegen.FeastExampleGen(...)
+```
+
+<div class="grid cards" markdown>
+
+-   [__Feast ExampleGen Component__](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/feast_examplegen)
+
+	---
+
+	An [ExampleGen](./examplegen.md) component for ingesting datasets from a [Feast Feature Store](https://feast.dev/).
+
+	[:octicons-arrow-right-24: Feast ExampleGen](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/feast_examplegen)
+
+-   [__Feature Selection Component__](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/feature_selection)
+
+	---
+
+	Perform feature selection using various algorithms with this TFX component.
+
+	[:octicons-arrow-right-24: Feature Selection](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/feature_selection)
+
+-   [__Firebase Publisher Component__](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/firebase_publisher)
+
+	---
+
+	A TFX component to publish/update ML models to [Firebase ML](https://firebase.google.com/products/ml).
+
+	[:octicons-arrow-right-24: Firebase Publisher](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/firebase_publisher)
+
+-   [__Hugging Face Pusher Component__](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/huggingface_pusher)
+
+	---
+
+	[Hugging Face Model Hub](https://huggingface.co/models). Optionally pushes the application to the [Hugging Face Spaces Hub](https://huggingface.co/spaces).
+
+	[:octicons-arrow-right-24: Hugging Face Pusher](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/huggingface_pusher)
+
+-   [__Message Exit Handler Component__](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/message_exit_handler)
+
+	---
+
+	Handle the completion or failure of a pipeline by notifying users, including any error messages.
+
+	[:octicons-arrow-right-24: Message Exit Handler](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/message_exit_handler)
+
+-   [__MLMD Client Library__](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/mlmd_client)
+
+	---
+
+	Client library to inspect content in [ML Metadata](mlmd.md) populated by TFX pipelines.
+
+	[:octicons-arrow-right-24: MLMD Cleint](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/mlmd_client)
+
+-   [__Model Card Generator__](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/model_card_generator)
+
+	---
+
+	The ModelCardGenerator takes [dataset statistics](statsgen.md), [model evaluation](evaluator.md), and a [pushed model](pusher.md) to automatically populate parts of a model card.
+
+	[:octicons-arrow-right-24: Model Card Generator](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/model_card_generator)
+
+-   [__Pandas Transform Component__](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/pandas_transform)
+
+	---
+
+	Use [Pandas dataframes](https://pandas.pydata.org/) instead of the standard Transform component for your feature engineering. Processing is distributed using [Apache Beam](https://beam.apache.org/) for scalability.
+
+	[:octicons-arrow-right-24: Pandas Transform](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/pandas_transform)
+
+-   [__Sampling Component__](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/sampling)
+
+	---
+
+	A TFX component to sample data from examples, using probabilistic estimation.
+
+	[:octicons-arrow-right-24: Sampling](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/sampling)
+
+-   [__Schema Curation Component__](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/schema_curation)
+
+	---
+
+	Apply user code to a schema produced by the [SchemaGen component](schemagen.md), and curate it based on domain knowledge.
+
+	[:octicons-arrow-right-24: Schema Curation](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/schema_curation)
+
+-   [__XGBoost Evaluator Component__](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/xgboost_evaluator)
+
+	---
+
+	Evaluate [XGBoost](https://xgboost.ai/) models by extending the standard [Evaluator component](evaluator.md).
+
+	[:octicons-arrow-right-24: XGBoost Evaluator](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/xgboost_evaluator)
+
+</div>

mkdocs.yml

@@ -152,7 +152,7 @@ nav:
     - Guide: guide/index.md
 
     - "What's New":
-      - "TFX-Addons": addons
+      - "TFX-Addons": guide/addons
       - "TFX Cloud Solutions": guide/solutions.md
       - "Using Keras with TFX": guide/keras
       - "Using Non-TensorFlow Frameworks in TFX": guide/non_tf