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18 lines
1.2 KiB
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BigDL Documentation
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===========================
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------
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`BigDL <https://github.com/intel-analytics/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 <doc/DLlib/Overview/dllib.html>`_: distributed deep learning library for Apache Spark
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* `Orca <doc/Orca/Overview/orca.html>`_: seamlessly scale out TensorFlow and PyTorch pipelines for distributed Big Data
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* `RayOnSpark <doc/Ray/Overview/ray.html>`_: run Ray programs directly on Big Data clusters
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* `Chronos <doc/Chronos/Overview/chronos.html>`_: scalable time series analysis using AutoML
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* `PPML <doc/PPML/Overview/ppml.html>`_: privacy preserving big data analysis and machine learning (*experimental*)
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* `Nano <doc/Nano/Overview/nano.html>`_: automatically accelerate TensorFlow and PyTorch pipelines by applying modern CPU optimizations
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-------
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.. meta::
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:google-site-verification: hG9ocvSRSRTY5z8g6RLn97_tdJvYRx_tVGhNdtZZavM
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