https://github.com/codecentric-oss/niceml

niceML 🍦 is a Python-based MLOps framework designed to streamline the development and maintenance of machine learning projects, offering efficient and scalable pipelines using TensorFlow and Dagster.
https://github.com/codecentric-oss/niceml

dagster deep-learning image-classification machine-learning mlops object-detection python semantic-segmentation tensorflow

Last synced: 3 days ago
JSON representation

niceML 🍦 is a Python-based MLOps framework designed to streamline the development and maintenance of machine learning projects, offering efficient and scalable pipelines using TensorFlow and Dagster.

• Host: GitHub
• URL: https://github.com/codecentric-oss/niceml
• Owner: codecentric-oss
• License: mit
• Created: 2023-04-19T07:39:11.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-12-13T12:50:46.000Z (about 1 month ago)
• Last Synced: 2025-01-11T09:56:33.626Z (7 days ago)
• Topics: dagster, deep-learning, image-classification, machine-learning, mlops, object-detection, python, semantic-segmentation, tensorflow
• Language: Python
• Homepage: https://niceml.io/
• Size: 30.5 MB
• Stars: 37
• Watchers: 3
• Forks: 2
• Open Issues: 13
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

README

        
# This is the readme for niceML

[![PyPI](https://img.shields.io/pypi/v/niceml)](

https://pypi.org/project/niceml/

)

![PyPI - Python Version](https://img.shields.io/pypi/pyversions/niceml)

[![🧪 Pytest](

https://github.com/codecentric-oss/niceml/actions/workflows/pytest.yaml/badge.svg)](

https://github.com/codecentric-oss/niceml/actions/workflows/pytest.yaml)

![GitHub commit activity](

https://img.shields.io/github/commit-activity/m/codecentric-oss/niceml)

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](

https://opensource.org/licenses/MIT)

**niceML** is a tool to help you set up your machine learning projects faster. 

It provides pipelines for a variety of ML tasks, like

- **Object Detection**,

- **Semantic Segmentation**,

- **Regression**,

- **Classification**

- and others.

All you have to do is configure your pipeline, and you're ready to go!

You can also add your own components to the build-in dashboard, 

where you can compare the results and performance of your ML models.

Further documentation is available at [niceML.io](https://niceml.io).

A lot more documentation will follow soon!