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Jason Dai 2022-06-28 09:27:40 +08:00 committed by GitHub
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README.md
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@ -19,7 +19,7 @@ BigDL makes it easy for data scientists and data engineers to build end-to-end,
* [PPML](#ppml-privacy-preserving-machine-learning): privacy preserving big data analysis and machine learning (*experimental*)
* [Nano](https://bigdl.readthedocs.io/en/latest/doc/Nano/Overview/nano.html): automatically accelerate TensorFlow and PyTorch pipelines by applying model CPU optimizations
* [Nano](https://bigdl.readthedocs.io/en/latest/doc/Nano/Overview/nano.html): automatically accelerate TensorFlow and PyTorch pipelines by applying modern CPU optimizations
For more information, you may [read the docs](https://bigdl.readthedocs.io/).

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# Analytics-zoo-doc Documentation
# BigDL Documentation
To compile the documentation, run the following commands from this directory.

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@ -10,7 +10,7 @@ BigDL Documentation
* `RayOnSpark <doc/Ray/Overview/ray.html>`_: run Ray programs directly on Big Data clusters
* `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*)
* `Nano <doc/Nano/Overview/nano.html>`_: automatically accelerate TensorFlow and PyTorch pipelines by applying model CPU optimizations
* `Nano <doc/Nano/Overview/nano.html>`_: automatically accelerate TensorFlow and PyTorch pipelines by applying modern CPU optimizations
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