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-0.12.0b2022031601-py2.py3-none-any.whl (20.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file analytics_zoo_serving-0.12.0b2022031601-py2.py3-none-any.whl.

File metadata

  • Download URL: analytics_zoo_serving-0.12.0b2022031601-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-0.12.0b2022031601-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 5ded98b4c7214dbff14e440a1f0e1e6c38617c3af0893c03efd6930b7629397e
MD5 72bf52778f56f4a96c220034cb5fab45
BLAKE2b-256 f6d45a323b5429b05677b007da50b3d4ad77f13e12f5533bb7d14b22789b9a8d

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