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Quick Start

  • TensorFlow 1.15 Quickstart
  • Keras 2.3 Quickstart
  • TensorFlow 2 Quickstart
  • PyTorch Quickstart
  • RayOnSpark Quickstart

User Guide

  • Python User Guide
  • Scala User Guide
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  • Docker User Guide
  • Hadoop/YARN User Guide
  • K8s User Guide
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  • Chronos User Guide
  • PPML User Guide
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Common Use Case

  • Use torch.distributed in Orca
  • Use Spark Dataframe for Deep Learning
  • Use Distribtued Pandas for Deep Learning
  • Use AutoML for Time-Series Forecasting
  • Use Keras-Like API for BigDL
  • Use Spark ML Pipeline for BigDL

Orca Overview

  • The Orca Library
  • Orca Context
  • Distributed Data-Parallel Processing
  • Distributed Training and Inference

Python API

  • Orca API
  • AutoML API
  • Friesian Feature API
  • Chronos Forecasters API

Real-World Application

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  • Overview: module code

All modules for which code is available

  • zoo.chronos.model.forecast.lstm_forecaster
  • zoo.chronos.model.forecast.mtnet_forecaster
  • zoo.chronos.model.forecast.seq2seq_forecaster
  • zoo.chronos.model.forecast.tcmf_forecaster
  • zoo.chronos.model.forecast.tcn_forecaster
  • zoo.chronos.model.forecast.tfpark_forecaster
  • zoo.friesian.feature.table
  • zoo.orca.automl.auto_estimator
  • zoo.orca.learn.bigdl.estimator
  • zoo.orca.learn.openvino.estimator
  • zoo.orca.learn.pytorch.estimator
  • zoo.orca.learn.tf.estimator
  • zoo.orca.learn.tf2.estimator

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