Skip to main content

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

Project description

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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

analytics_zoo_serving-0.10.0b20210329-py2.py3-none-any.whl (17.6 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file analytics_zoo_serving-0.10.0b20210329-py2.py3-none-any.whl.

File metadata

  • Download URL: analytics_zoo_serving-0.10.0b20210329-py2.py3-none-any.whl
  • Upload date:
  • Size: 17.6 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/2.7.8

File hashes

Hashes for analytics_zoo_serving-0.10.0b20210329-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 0880569cf615e4bbddce7761a86efa69b613a5fa62e61becded31508d3767373
MD5 d2538a7caf643e8767786b208638f6c3
BLAKE2b-256 9c69215150eb0eba529af98730a2d3117fce11521498dd5698ac1b8bfe6eec5e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page