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
A changelog is maintained on Github
Links
- Github https://github.com/microsoft/hi-ml
- Project InnerEye http://aka.ms/InnerEye
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 Distribution
Built Distribution
File details
Details for the file hi-ml-0.1.0.post598.tar.gz
.
File metadata
- Download URL: hi-ml-0.1.0.post598.tar.gz
- Upload date:
- Size: 4.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9488da19c6e6b9e120b19a09edd3e57d80aae690d0bc3b59db22dec1eda7913d |
|
MD5 | 04cef47449e6209395ded05a63413b8d |
|
BLAKE2b-256 | 9c09fbd0fa16faa26c7ab0cbab74a20b264cb672d45c78f5efc7d4b5fc1f4a01 |
File details
Details for the file hi_ml-0.1.0.post598-py3-none-any.whl
.
File metadata
- Download URL: hi_ml-0.1.0.post598-py3-none-any.whl
- Upload date:
- Size: 5.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5d4a180661ee78d82ee7624cd46d6be4d7357c2f41abc31e52692b0344f4534f |
|
MD5 | b45c991e44080b134a5d086a5305813c |
|
BLAKE2b-256 | b7c36552724f36813f63177620359168d10cd2cd9642eabfa2c4b2a7b0b6db2f |