Skip to main content

Microsoft Health Futures package containing high level ML components

Project description

Microsoft Health Intelligence Machine Learning Toolbox

Overview

This toolbox aims at providing low-level and high-level building blocks for Machine Learning / AI researchers and practitioners. It helps to simplify and streamline work on deep learning models for healthcare and life sciences, by providing tested components (data loaders, pre-processing), and deep learning models.

Installation

You can install the latest version from pypi via

pip install hi-ml

Documentation

The detailed package documentation, with examples and API reference, is on readthedocs.

Getting started

Examples that illustrate the use of the hi-ml toolbox can be found on readthedocs.

Changelog

We are relying on Github's auto-generated changelog to describe what went into a release. Please check each individual release to see a full changelog.

Links

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hi-ml-0.2.8.tar.gz (79.1 kB view details)

Uploaded Source

Built Distribution

hi_ml-0.2.8-py3-none-any.whl (94.8 kB view details)

Uploaded Python 3

File details

Details for the file hi-ml-0.2.8.tar.gz.

File metadata

  • Download URL: hi-ml-0.2.8.tar.gz
  • Upload date:
  • Size: 79.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for hi-ml-0.2.8.tar.gz
Algorithm Hash digest
SHA256 0eafbf4863e03af26fbe7f147e177ca66a62dcbb59b1b617617ccc28dc5e3dcf
MD5 dd14e37747fa481e813866b15f9e6877
BLAKE2b-256 b3ffb1f8397aaae6bc9c495f3430c323b2bf803a16f44bb7b2c04a725bfb3d4b

See more details on using hashes here.

File details

Details for the file hi_ml-0.2.8-py3-none-any.whl.

File metadata

  • Download URL: hi_ml-0.2.8-py3-none-any.whl
  • Upload date:
  • Size: 94.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for hi_ml-0.2.8-py3-none-any.whl
Algorithm Hash digest
SHA256 de6048c898e1cfa90ffc4d8f63f3db52b927490726ed23ca364cce35e9836fe4
MD5 ef2f434856efa67d0aabe45751e0c119
BLAKE2b-256 249fa63a7e20cd7612bf67da14bf7b411526eace9d61bcf1be6825b723e7405e

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