Hi all,
We are happy to announce the 0.8 release of Analytics Zoo <https://github.com/intel-analytics/analytics-zoo/>, a unified Data Analytics and AI platform for *distributed TensorFlow, Keras, PyTorch, BigDL, Apache Spark/Flink and Ray**. S*ome of the notable new features in this release are: - First official release of AutoML support <https://analytics-zoo.github.io/0.8.1/#ProgrammingGuide/AutoML/overview/> - Improved support for running Analytics Zoo on K8s <https://analytics-zoo.github.io/0.8.1/#ProgrammingGuide/k8s/> - Improvement to tfpark <https://analytics-zoo.github.io/0.8.1/#ProgrammingGuide/TFPark/tensorflow/> (distributed TensorFlow on Spark), including seamless scale-out of *tf.data.Dataset pipelines on Spark <https://analytics-zoo.github.io/master/#ProgrammingGuide/TFPark/how-to-import-data/#working-with-data-files-including-csv-files-text-files-and-tfrecord-files>*, support of *Spark Dataframes in TFDataSet <https://analytics-zoo.github.io/0.8.1/#ProgrammingGuide/TFPark/how-to-import-data/#working-with-rdd-or-spark-dataframe-data>*, support for pre-made TensorFlow Estimator, etc. - Improvement to Cluster Serving <https://analytics-zoo.github.io/0.8.1/#ClusterServingGuide/ProgrammingGuide/> (automatically distributed serving of DL models), including support for performance mode, better TensorBoard integration, etc. - Improvement to time series analysis (including new MTNet model and project Zouwu <https://analytics-zoo.github.io/0.8.1/#Zouwu/overview/>) - Upgrading OpenVINO support to 2020 R1 For more details, you may refer to the project website at https://github.com/intel-analytics/analytics-zoo/, and the Getting Started <https://analytics-zoo.github.io/0.8.1/#gettingstarted/> page. Thanks, -Jason
