https://github.com/emptymalei/haferml

the HomemAde FramEwoRk for Machine Learning
https://github.com/emptymalei/haferml

Last synced: 2 months ago
JSON representation

the HomemAde FramEwoRk for Machine Learning

• Host: GitHub
• URL: https://github.com/emptymalei/haferml
• Owner: emptymalei
• License: mit
• Created: 2021-04-14T15:14:05.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-10-28T20:41:17.000Z (about 1 year ago)
• Last Synced: 2024-10-11T01:54:35.718Z (3 months ago)
• Language: Python
• Homepage: https://haferml.leima.is
• Size: 632 KB
• Stars: 11
• Watchers: 2
• Forks: 2
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Citation: CITATION.cff

Awesome Lists containing this project

README

        
# Hafer ML

The HomemAde FramEwoRk for Machine Learning (HAFER ML) is a minimal and unambitious framework for your machine learning projects, with reproducibility in mind.

> Hafer is oat in German.

## Install

```

pip install haferml

```

This will leave out many dependencies. To install all,

```

pip install "haferml[all]"

```

The extras options:

- `all`: everything

- `aws`: required if one needs AWS

- `docs`: required to build the docs

## The Idea

The Hafer ML frameworks is designed to be a minimal framework for data scientists. Hafer ML uses config files and saves the artifacts at every step for reproducibility.

![](https://datumorphism.leima.is/blog/data-science/assets/a-simple-machine-learning-framework/simple_framework_ml_projects.png)

> [on whimsical](https://whimsical.com/hafer-ml-WMGCWpDixJG9S3PAFWey1i)