semvec/pypi-packages huggingface dataset:
analytics-zoo 0.12.0b2022082301
A unified Data Analytics and AI platform for distributed TensorFlow, Keras, PyTorch, Apache Spark/Flink and Ray
License: Apache License, Version 2.0

[**Analytics Zoo**](https://github.com/intel-analytics/analytics-zoo/)
is an open source _**Big Data AI**_ platform, and includes the following
features for scaling end-to-end AI to distributed Big Data:

- [Orca](https://github.com/intel-analytics/analytics-zoo#getting-started-with-orca):
seamlessly scale out TensorFlow and PyTorch for Big Data (using Spark & Ray)

- [RayOnSpark](https://github.com/intel-analytics/analytics-zoo#getting-started-with-rayonspark):
run Ray programs directly on Big Data clusters

- [BigDL
Extensions](https://github.com/intel-analytics/analytics-zoo#getting-started-with-bigdl-extensions):
high-level Spark ML pipeline and Keras-like APIs for BigDL

- [Chronos](https://github.com/intel-analytics/analytics-zoo#getting-started-with-chronos):
scalable time series analysis using AutoML

- [PPML](https://github.com/intel-analytics/analytics-zoo#ppml-privacy-preserving-machine-learning):
privacy preserving big data analysis and machine learning (*experimental*)

For more information, you may [read the docs](https://analytics-zoo.readthedocs.io/).
analytics-zoo-serving 0.12.0b2022082301
A unified Data Analytics and AI platform for distributed TensorFlow, Keras, PyTorch, Apache Spark/Flink and Ray
License: Apache License, Version 2.0

Analytics Zoo: A unified Data Analytics and AI platform for distributed TensorFlow,
 Keras, PyTorch, Apache Spark/Flink and Ray.

You may want to develop your AI solutions using Analytics Zoo if:

- You want to easily prototype the entire end-to-end pipeline that applies AI models
 (e.g., TensorFlow, Keras, PyTorch, BigDL, OpenVINO, etc.) to production big data.
- You want to transparently scale your AI applications from a laptop to large clusters with "zero"
 code changes.
- You want to deploy your AI pipelines to existing YARN or K8S clusters *WITHOUT* any modifications
 to the clusters.
- You want to automate the process of applying machine learning (such as feature engineering,
 hyperparameter tuning, model selection and distributed inference).

Find instructions to install analytics-zoo via pip, please visit our documentation page:
 https://analytics-zoo.github.io/master/#PythonUserGuide/install/

For source code and more information, please visit our GitHub page:
 https://github.com/intel-analytics/analytics-zoo