add several shields to BigDL (#5212)
* add license shields * add license shields * add license shields * add license shields * add license shields * add license shields * add license shields * add license shields * add license shields * add license shields * add license shields * add license shields * add license shields * add license shields * add license shields * add license shields
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</div>
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---
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[](https://github.com/intel-analytics/BigDL/blob/main/LICENSE)
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[](https://app.fossa.com/projects/custom%2B32229%2Fgithub.com%2Fintel-analytics%2FBigDL?ref=badge_shield)
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[](https://github.com/intel-analytics/BigDL/pulse)
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[](https://github.com/intel-analytics/BigDL/commit/main)
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[](https://github.com/intel-analytics/BigDL/graphs/contributors)
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[](https://github.com/intel-analytics/BigDL)
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[](https://hub.docker.com/u/intelanalytics)
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[](https://pypi.org/project/bigdl/)
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[](https://pypi.org/project/bigdl/)
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[](https://github.com/intel-analytics/BigDL/actions/workflows/maven-publish-scala.yml)
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[](https://repo1.maven.org/maven2/com/intel/analytics/bigdl/bigdl-assembly-spark_3.1.2/)
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[](https://oss.sonatype.org/content/repositories/snapshots/com/intel/analytics/bigdl/bigdl-assembly-spark_3.1.2/)
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BigDL makes it easy for data scientists and data engineers to build end-to-end, distributed AI applications. The **BigDL 2.0** release combines the [original BigDL](https://github.com/intel-analytics/BigDL/tree/branch-0.14) and [Analytics Zoo](https://github.com/intel-analytics/analytics-zoo) projects, providing the following features:
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* [DLlib](#getting-started-with-dllib): distributed deep learning library for Apache Spark *(i.e., the original BigDL framework with Keras-style API and Spark ML pipeline support)*
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