Skip to main content

Microsoft Health Intelligence 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-0.2.1.tar.gz (73.6 kB view details)

Uploaded Source

Built Distribution

hi_ml-0.2.1-py3-none-any.whl (89.1 kB view details)

Uploaded Python 3

File details

Details for the file hi-ml-0.2.1.tar.gz.

File metadata

  • Download URL: hi-ml-0.2.1.tar.gz
  • Upload date:
  • Size: 73.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.13

File hashes

Hashes for hi-ml-0.2.1.tar.gz
Algorithm Hash digest
SHA256 ea2d1b8de1019c2d62992c2997d857410ea6224094fded772fd8064e0f078cf1
MD5 34689eefb43aa1ec11e750ab94c81e75
BLAKE2b-256 6f9cd3d6eef321f07e0987cc779a8e0a9050636610ead4d02fbed17152ddd494

See more details on using hashes here.

File details

Details for the file hi_ml-0.2.1-py3-none-any.whl.

File metadata

  • Download URL: hi_ml-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 89.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.13

File hashes

Hashes for hi_ml-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 3a21a4b0b6b7cd67169a1b3857281f8037f7709415b98fcab9377d89e6d696c2
MD5 541dc6754d73e46a1e29f2ffa55db4fe
BLAKE2b-256 d7fe262faed11a8653fb1ee72135bb799db866dbae88580061a35090435544e7

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