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-0.12.0b20210901-py2.py3-none-any.whl (18.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file analytics_zoo_serving-0.12.0b20210901-py2.py3-none-any.whl.

File metadata

  • Download URL: analytics_zoo_serving-0.12.0b20210901-py2.py3-none-any.whl
  • Upload date:
  • Size: 18.6 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-0.12.0b20210901-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 ed3be6afc63414f9513b822578e4f0a1c9db9e38e1d5686a35e2f14026e101b8
MD5 d2ac93f4f37a7860fdc929b6a27f613c
BLAKE2b-256 80fb5edb3498da7a7b2832c29e90f27c1847316d0c3686e9046c4fe26ba74471

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