Analytics Zoo is an open source Big Data AI platform, and includes the following features for scaling end-to-end AI to distributed Big Data:
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Orca: seamlessly scale out TensorFlow and PyTorch for Big Data (using Spark & Ray)
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RayOnSpark: run Ray programs directly on Big Data clusters
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BigDL Extensions: high-level Spark ML pipeline and Keras-like APIs for BigDL
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Chronos: scalable time series analysis using AutoML
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PPML: privacy preserving big data analysis and machine learning (experimental)
For more information, you may read the docs.
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Release files for analytics-zoo 0.11.2
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Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| analytics_zoo-0.11.2-py2.py3-none-manylinux1_x86_64.whl | Python 2, Python 3 | none | Linux glibc 2.5+ x86-64 | Details |
| analytics_zoo-0.11.2-py2.py3-none-macosx_10_11_x86_64.whl | Python 2, Python 3 | none | macOS 10.11+ x86-64 | Details |
Total release size: 376.2 MB
Release files / analytics_zoo-0.11.2-py2.py3-none-manylinux1_x86_64.whl
| Download URL | analytics_zoo-0.11.2-py2.py3-none-manylinux1_x86_64.whl |
|---|---|
| Size | 206.9 MB |
| Tags | Linux glibc 2.5+ x86-64 Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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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
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Release files / analytics_zoo-0.11.2-py2.py3-none-macosx_10_11_x86_64.whl
| Download URL | analytics_zoo-0.11.2-py2.py3-none-macosx_10_11_x86_64.whl |
|---|---|
| Size | 169.4 MB |
| Tags | Python 2 Python 3 macOS 10.11+ x86-64 |
|
SHA-256 checksum How to use checksums |
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No |
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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
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