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			72 lines
		
	
	
	
		
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BigDL: fast, distributed, secure AI for Big Data
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=================================================
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`BigDL <https://github.com/intel-analytics/bigdl>`_ seamlessly scales your data analytics & AI applications from laptop to cloud, with the following libraries:
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- `Orca <doc/Orca/index.html>`_: Distributed Big Data & AI (TF & PyTorch) Pipeline on Spark and Ray
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- `Nano <doc/Nano/index.html>`_: Transparent Acceleration of Tensorflow & PyTorch Programs
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- `DLlib <doc/DLlib/index.html>`_ "Equivalent of Spark MLlib" for Deep Learning
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- `Chronos <doc/Chronos/index.html>`_: Scalable Time Series Analysis using AutoML
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- `Friesian <doc/Friesian/index.html>`_: End-to-End Recommendation Systems
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- `PPML <doc/PPML/index.html>`_ (experimental): Secure Big Data and AI (with SGX Hardware Security)
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------
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Choosing the right BigDL library
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---------------------------------
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.. graphviz::
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    digraph BigDLDecisionTree {
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        graph [pad=0.1 ranksep=0.3 tooltip=" "]
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        node [color="#0171c3" shape=box fontname="Arial" fontsize=14 tooltip=" "]
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        edge [tooltip=" "]
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        Feature1 [label="Hardware Secured Big Data & AI?"]
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        Feature2 [label="Python vs. Scala/Java?"]
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        Feature3 [label="What type of application?"]
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        Feature4 [label="Domain?"]
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        Orca[href="../doc/Orca/index.html" target="_blank" target="_blank" style="rounded,filled" fontcolor="#ffffff" tooltip="Go to BigDL-Orca document"]
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        Nano[href="../doc/Nano/index.html" target="_blank" target="_blank" style="rounded,filled" fontcolor="#ffffff" tooltip="Go to BigDL-Nano document"]
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        DLlib1[label="DLlib" href="../doc/DLlib/index.html" target="_blank" style="rounded,filled" fontcolor="#ffffff" tooltip="Go to BigDL-DLlib document"]
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        DLlib2[label="DLlib" href="../doc/DLlib/index.html" target="_blank" style="rounded,filled" fontcolor="#ffffff" tooltip="Go to BigDL-DLlib document"]
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        Chronos[href="../doc/Chronos/index.html" target="_blank" style="rounded,filled" fontcolor="#ffffff" tooltip="Go to BigDL-Chronos document"]
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        Friesian[href="../doc/Friesian/index.html" target="_blank" style="rounded,filled" fontcolor="#ffffff" tooltip="Go to BigDL-Friesian document"]
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        PPML[href="../doc/PPML/index.html" target="_blank" style="rounded,filled" fontcolor="#ffffff" tooltip="Go to BigDL-PPML document"]
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        ArrowLabel1[label="No" fontsize=12 width=0.1 height=0.1 style=filled color="#c9c9c9"]
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        ArrowLabel2[label="Yes" fontsize=12 width=0.1 height=0.1 style=filled color="#c9c9c9"]
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        ArrowLabel3[label="Python" fontsize=12 width=0.1 height=0.1 style=filled color="#c9c9c9"]
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        ArrowLabel4[label="Scala/Java" fontsize=12 width=0.1 height=0.1 style=filled color="#c9c9c9"]
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        ArrowLabel5[label="Distributed Big Data \n + \n AI (TF/PyTorch)" fontsize=12 width=0.1 height=0.1 style=filled color="#c9c9c9"]
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        ArrowLabel6[label="Accelerate \n TensorFlow / PyTorch" fontsize=12 width=0.1 height=0.1 style=filled color="#c9c9c9"]
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        ArrowLabel7[label="DL for Spark MLlib" fontsize=12 width=0.1 height=0.1 style=filled color="#c9c9c9"]
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        ArrowLabel8[label="High Level App Framework" fontsize=12 width=0.1 height=0.1 style=filled color="#c9c9c9"]
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        ArrowLabel9[label="Time Series" fontsize=12 width=0.1 height=0.1 style=filled color="#c9c9c9"]
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        ArrowLabel10[label="Recommender System" fontsize=12 width=0.1 height=0.1 style=filled color="#c9c9c9"]
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        Feature1 -> ArrowLabel1[dir=none]
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        ArrowLabel1 -> Feature2
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        Feature1 -> ArrowLabel2[dir=none]
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        ArrowLabel2 -> PPML
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        Feature2 -> ArrowLabel3[dir=none]
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        ArrowLabel3 -> Feature3
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        Feature2 -> ArrowLabel4[dir=none]
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        ArrowLabel4 -> DLlib1
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        Feature3 -> ArrowLabel5[dir=none]
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         ArrowLabel5 -> Orca
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        Feature3 -> ArrowLabel6[dir=none]
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        ArrowLabel6 -> Nano
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        Feature3 -> ArrowLabel7[dir=none]
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        ArrowLabel7 -> DLlib2
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        Feature3 -> ArrowLabel8[dir=none]
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        ArrowLabel8 -> Feature4
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        Feature4 -> ArrowLabel9[dir=none]
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        ArrowLabel9 -> Chronos
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        Feature4 -> ArrowLabel10[dir=none]
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        ArrowLabel10 -> Friesian
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    }
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