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-0.12.0b2022041401-py2.py3-none-any.whl (20.6 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file analytics_zoo_serving-0.12.0b2022041401-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for analytics_zoo_serving-0.12.0b2022041401-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 19027d53df2094d5e16148c6ff48129933b75643d52eb433bb195ab3bf0a1a2e
MD5 8f8c43f840774b7d735be28eff8c4f27
BLAKE2b-256 26140ba80ffdb9b0f9d46e25395284b6cb1052a3b3da2fdd843c70466c1f32fd

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