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

If you're not sure about the file name format, learn more about wheel file names.

analytics_zoo_serving-0.12.0b2021112901-py2.py3-none-any.whl (20.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file analytics_zoo_serving-0.12.0b2021112901-py2.py3-none-any.whl.

File metadata

  • Download URL: analytics_zoo_serving-0.12.0b2021112901-py2.py3-none-any.whl
  • Upload date:
  • Size: 20.6 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-0.12.0b2021112901-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 679b27c0b6978fbc04adadbfc81e83a1ce81e2af7d2081d6ff297f87fa544094
MD5 b998637cd0155ff23ac80ba56273c30a
BLAKE2b-256 6920efd95b5c5eb836dae29bda357ca20e81dedd50f8443622373ed970d29efa

See more details on using hashes here.

Supported by

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