skops
Model deployment tools
Tools and utilities for deploying and sharing scikit-learn models in production
skops is a Python library helping you share your scikit-learn based models and put them in production
451 stars
10 watching
54 forks
Language: Python
last commit: 10 days ago
Linked from 1 awesome list
hacktoberfesthuggingfacemachine-learningmlopsscikit-learn
ethicalml/awesome-production-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
 educationaltestingservice/skll | A toolset for running machine learning experiments with scikit-learn | 551 |
 amueller/scipy_2015_sklearn_tutorial | Tutorials and materials for learning machine learning with Python using popular libraries like scikit-learn. | 576 |
 crazy-canux/super-devops | A collection of tools and libraries for automating and managing the development lifecycle. | 8 |
 scikit-learn/scikit-learn | A comprehensive Python module for machine learning built on top of SciPy | 60,136 |
 keras-team/keras-hub | Provides pre-trained models and building blocks for natural language processing, computer vision, audio, and multimodal tasks | 797 |
 scikit-learn-contrib/skope-rules | A Python machine learning module that generates logical rules to predict class labels with high precision | 625 |
 omegaml/omegaml | An end-to-end MLOps platform that streamlines machine learning development, deployment, and collaboration. | 95 |
 scikit-multiflow/scikit-multiflow | A machine learning package for streaming data in Python. | 766 |
 oxid15/cascade | A lightweight MLOps library for small teams and individuals to manage machine learning model development lifecycle | 22 |
 combust/mleap | Enables deployment of machine learning data pipelines and algorithms to production | 1,504 |
 openstack/kolla | Provides production-ready containers and deployment tools for OpenStack clouds | 1,165 |
 harisekhon/devops-python-tools | A collection of 80+ CLI tools for DevOps, Cloud, Big Data, and Python development | 773 |
 aronchick/mlops-pipeline | Automates the end-to-end machine learning workflow from code commit to model deployment | 18 |
| scikit-learn-contrib/metric-learn | A Python library providing efficient implementations of various supervised and weakly-supervised metric learning algorithms. | 1,399 |
 bjinwright/zops | A toolset for automating AWS Lambda and API Gateway deployments for devops teams using Zappa. | 13 |