Microsoft Health Futures package containing high level ML components

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for antonsc from gravatar.com antonsc Avatar for mebristo from gravatar.com mebristo Avatar for microsoft from gravatar.com microsoft

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for antonsc from gravatar.com antonsc Avatar for mebristo from gravatar.com mebristo Avatar for microsoft from gravatar.com microsoft

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

0.5.2

This version

0.5.1

0.5.0

0.4.3

0.4.2

0.4.1

0.4.0

0.3.4

0.3.2

0.3.1

0.3.0

0.2.19

0.2.18

0.2.16

0.2.15

0.2.14

0.2.13

0.2.12

0.2.11

0.2.9

0.2.8

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.12

0.1.11

0.1.10

0.1.9

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.0.post598

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-0.5.1.tar.gz (91.5 kB view details)

Uploaded Source

Built Distribution

hi_ml-0.5.1-py3-none-any.whl (107.6 kB view details)

Uploaded Python 3

File details

Details for the file hi-ml-0.5.1.tar.gz.

File metadata

  • Download URL: hi-ml-0.5.1.tar.gz
  • Upload date:
  • Size: 91.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.19

File hashes

Hashes for hi-ml-0.5.1.tar.gz
Algorithm Hash digest
SHA256 e71a1e01db0f6a1ce8f24cdfd1a227129d0ccaa34ce3b9ade17f7f1827155aca
MD5 8d3e09bc3dfc729d93589ae92dc7c905
BLAKE2b-256 c072842c8197f0347aee1eb2a96ce20f579bccfc547e74cb7bd63f411718868b

See more details on using hashes here.

File details

Details for the file hi_ml-0.5.1-py3-none-any.whl.

File metadata

  • Download URL: hi_ml-0.5.1-py3-none-any.whl
  • Upload date:
  • Size: 107.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.19

File hashes

Hashes for hi_ml-0.5.1-py3-none-any.whl
Algorithm Hash digest
SHA256 561df602a85a69bef9d700dede3885951c203ea7f44c292cf1dab0555ca91805
MD5 519e83f31b74f9e6e8e38363f2952f7a
BLAKE2b-256 5e232428259cf22e90756794f1e0d3070ee7c6abf7b457ccb77de4e44d38be75

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