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@ -5,9 +5,11 @@ Analytics Zoo Documentation
`Analytics Zoo <https://github.com/intel-analytics/analytics-zoo>`_ is an open source Big Data AI platform, and includes the following features for scaling end-to-end AI to distributed Big Data: `Analytics Zoo <https://github.com/intel-analytics/analytics-zoo>`_ is an open source Big Data AI platform, and includes the following features for scaling end-to-end AI to distributed Big Data:
* `Orca <doc/Orca/Overview/orca.html>`_: seamlessly scale out TensorFlow and PyTorch for Big Data (using Spark & Ray) 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:
* **DLlib**: distributed deep learning library for Apache Spark (including support for `Spark ML pipeline <doc/UseCase/nnframes.html>`_ and `Keras-like <doc/UseCase/keras-api.html>`_ APIs)
* `Orca <doc/Orca/Overview/orca.html>`_: seamlessly scale out TensorFlow and PyTorch pipelines for distributed Big Data
* `RayOnSpark <doc/Ray/Overview/ray.html>`_: run Ray programs directly on Big Data clusters * `RayOnSpark <doc/Ray/Overview/ray.html>`_: run Ray programs directly on Big Data clusters
* **BigDL Extensions**: high-level `Spark ML pipeline <doc/UseCase/nnframes.html>`_ and `Keras-like <doc/UseCase/keras-api.html>`_ APIs for BigDL
* `Chronos <doc/Chronos/Overview/chronos.html>`_: scalable time series analysis using AutoML * `Chronos <doc/Chronos/Overview/chronos.html>`_: scalable time series analysis using AutoML
* `PPML <doc/PPML/Overview/ppml.html>`_: privacy preserving big data analysis and machine learning (*experimental*) * `PPML <doc/PPML/Overview/ppml.html>`_: privacy preserving big data analysis and machine learning (*experimental*)