semvec/pypi-packages huggingface dataset:
hi-ml 0.5.4
Microsoft Health Futures package containing high level ML components
License: MIT License
Keywords: Health Futures, Health Intelligence, AzureML

# 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

```console
pip install hi-ml
```

## Documentation

The detailed package documentation, with examples and API reference, is on
[readthedocs](https://hi-ml.readthedocs.io/en/latest/).

## Getting started

Examples that illustrate the use of the `hi-ml` toolbox can be found on
[readthedocs](https://hi-ml.readthedocs.io/en/latest/).

## Changelog

We are relying on Github's auto-generated changelog to describe what went into a release. Please check [each individual release](https://github.com/microsoft/hi-ml/releases) to see a full changelog.

## Links

* Github [https://github.com/microsoft/hi-ml](https://github.com/microsoft/hi-ml)
* Project InnerEye [http://aka.ms/InnerEye](http://aka.ms/InnerEye)
hi-ml-azure 0.5.4
Microsoft Health Futures package to elevate and monitor scripts to an AzureML workspace
License: MIT License
Keywords: Health Futures, Health Intelligence, AzureML

# Microsoft Health Intelligence Machine Learning Azure Toolbox

## Overview

This toolbox provides cloud integration tools for Machine Learning / AI researchers and
practitioners. ML components can be found in the sibling package `hi-ml`.

## Installation

You can install the latest version from `pypi` via

```shell
pip install hi-ml-azure
```

## Documentation

The detailed package documentation, with examples and API reference, is on
[readthedocs](https://hi-ml.readthedocs.io/en/latest/).

## Getting started

Examples that illustrate the use of the `hi-ml` toolbox can be found on
[readthedocs](https://hi-ml.readthedocs.io/en/latest/).

## Changelog

We are relying on Github's auto-generated changelog to describe what went into a release. Please check each individual release
([available here](https://github.com/microsoft/hi-ml/releases)) to see a full changelog.

## Links

* Github [https://github.com/microsoft/hi-ml](https://github.com/microsoft/hi-ml)
* Project InnerEye [http://aka.ms/InnerEye](http://aka.ms/InnerEye)