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-0.12.0b20211027-py2.py3-none-any.whl (20.5 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file analytics_zoo_serving-0.12.0b20211027-py2.py3-none-any.whl.

File metadata

  • Download URL: analytics_zoo_serving-0.12.0b20211027-py2.py3-none-any.whl
  • Upload date:
  • Size: 20.5 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-0.12.0b20211027-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 149fed2d7d0fc21b1410b757e805a1ad5189fc004a4066879c4cdc4fc3cc796a
MD5 814d167913be603d35168f23d2963f8f
BLAKE2b-256 1407c4f55fede6cb8b59f93f1fc84f3e4d7b10612dca99de1fa38de762cd365a

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