https://github.com/Neuraxio/Neuraxle

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
https://github.com/Neuraxio/Neuraxle

deep-learning framework hyperparameter-optimization hyperparameter-search hyperparameter-tuning hyperparameters machine-learning neuraxle parallel pipeline pipeline-framework python-library scikit-learn

Last synced: about 2 months ago
JSON representation

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

• Host: GitHub
• URL: https://github.com/Neuraxio/Neuraxle
• Owner: Neuraxio
• License: apache-2.0
• Created: 2019-03-26T21:01:54.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2023-05-01T22:43:43.000Z (over 1 year ago)
• Last Synced: 2024-07-14T02:44:20.830Z (2 months ago)
• Topics: deep-learning, framework, hyperparameter-optimization, hyperparameter-search, hyperparameter-tuning, hyperparameters, machine-learning, neuraxle, parallel, pipeline, pipeline-framework, python-library, scikit-learn
• Language: Python
• Homepage: https://www.neuraxle.org/
• Size: 8.17 MB
• Stars: 601
• Watchers: 19
• Forks: 60
• Open Issues: 4
• Metadata Files:
  • Readme: README.rst
  • Contributing: CONTRIBUTING.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE
  • Code of conduct: .github/CODE_OF_CONDUCT.md

Awesome Lists containing this project

• Awesome-AIML-Data-Ops - Neuraxle - A framework for building neat pipelines, providing the right abstractions to chain your data transformation and prediction steps with data streaming, as well as doing hyperparameter searches (AutoML). (Data Pipeline ETL Frameworks)
• awesome-production-machine-learning - Neuraxle - A framework for building neat pipelines, providing the right abstractions to chain your data transformation and prediction steps with data streaming, as well as doing hyperparameter searches (AutoML). (Data Pipeline)
• awesome-python-machine-learning-resources - GitHub - 19% open · ⏱️ 16.08.2022): (超参数优化和AutoML)